index,title,company_name,location,description,about,mission_and_values,remote,responsibilities,required_qualifications,preferred_qualifications,salary_or_pay_range,benefits_and_perks 409,Fraud Strategy Data Scientist,"Softworld, Inc.","Mountain View, CA","Job Title: Fraud Strategy Data Scientist Job Location: San Jose, CA... Onsite Requirements: • Python/SQL • Financial Fraud Risk • Payment's experience Job Description • We are looking for a talented, enthusiastic, and dedicated person to support the Fraud Risk Strategy team. • The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. • This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain. Requirements: • Minimum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. • Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience • Experience using statistics and data science to solve complex business problems. • Proficiency in SQL, Python, Excel including key data science libraries. • Proficiency in data visualization including Tableau. • Experience working with large datasets. • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau. • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes. • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. • Desirable to have experience or aptitude solving problems related to risk using data science and analytics. • Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions • Design rules to detect/mitigate fraud. • Develop python scripts and models that support strategies. • Investigate novel/large cases. • Identify root cause. • Set strategy for different risk types. • Work with product/engineering to improve control capabilities. • Develop and present strategies and guide execution Expected Outcome in 6-12 months: • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. • Utilize data analysis to design and implement fraud strategies. • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. • Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills: • Data analytics and models • Rule development • Dashboard Creation • Project Management • Strong Communication • *3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply. This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future",,,,"['Design rules to detect/mitigate fraud.', 'Develop python scripts and models that support strategies.', 'Investigate novel/large cases.', 'Identify root cause.', 'Set strategy for different risk types.', 'Work with product/engineering to improve control capabilities.', 'Develop and present strategies and guide execution']","['Minimum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.', ""Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience"", 'Experience using statistics and data science to solve complex business problems.', 'Proficiency in SQL, Python, Excel including key data science libraries.', 'Proficiency in data visualization including Tableau.', 'Experience working with large datasets.', 'Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.', 'Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.', 'Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.']","['AWS', 'fraud investigations', 'payment rule systems', 'working with ML teams', 'fraud typologies']",,[] 420,"Data Scientist at Remedly in Mountain View, CA",Remedly,"Mountain View, CA","Rhombus is purposefully transforming the nation's defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance. We are looking for people who are driven by a sense of purpose. In this role, you will serve as a Data Scientist to solve our customer's uniquely complex problems. We expect you to be a systems-level thinker and a real doer. You will excel in this role if you are hungry to make a difference and are intellectually bold. And we sure hope that you smile when you hear our clients say, If we can dream it, Rhombus can do it. Come join our cross-disciplinary and world-class team of technologists who are working hard every day to deliver game-changing solutions to transform national security. Job description As a Data Scientist at Rhombus you will work with our Product team. You will design, develop, and launch efficient and reliable data pipelines to move, analyze... and model data and to provide intuitive analytics from Rhombus' large and complex datasets. A strong systematic mind is a priority, as well as the ability to communicate clearly in multiple technical contexts. The ideal candidate should be passionate about finding insights in large datasets, while maintaining attention to database architecture, data reliability, efficiency, and quality. As we are continually releasing new features and products, the ability to construct elegant system-level data architecture is expected. Responsibilities Discover datasets that could help in solution development Data curation, analysis, quantitative modeling Validation and quality assurance of data, models and results Deploy and implement solutions in collaboration with product team Interact with the product team on current and upcoming user requirements Qualifications Masters or Ph.D. in Sciences, Mathematics or Engineering, especially numerical methods and simulations - we have multiple openings Strong background in database management solutions, familiarity with databases such as MySQL and Oracle Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture Background in Statistics is expected, and Experience with Machine Learning is a bonus Experience with Cloud Computing environments (AWS, GCloud, Azure) is a plus Location San Francisco Bay Area About Rhombus Rhombus Power Inc. (Rhombus) is a NASA Research Park startup located in the heart of Silicon Valley. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations - and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. Salary Range: $100K -- $150K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications",Rhombus Power Inc. (Rhombus) is a NASA Research Park startup located in the heart of Silicon Valley.,"Transforming the nation's defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.",Not specified,"['Discover datasets that could help in solution development', 'Data curation, analysis, quantitative modeling', 'Validation and quality assurance of data, models and results', 'Deploy and implement solutions in collaboration with product team', 'Interact with the product team on current and upcoming user requirements']","['Masters or Ph.D. in Sciences, Mathematics or Engineering, especially numerical methods and simulations', 'Strong background in database management solutions', 'Familiarity with databases such as MySQL and Oracle']","['Experience with Cloud Computing environments (AWS, GCloud, Azure)', 'Background in Statistics', 'Experience with Machine Learning']",$100K -- $150K,['Not specified'] 421,Principal Data Scientist,Microsoft,"Mountain View, CA","The Search + Distribution (S+D) team is the leading applied artificial intelligence team at Microsoft responsible for delivering the quality experience to over 500M+ monthly active users around the world in Microsoft’s search engine, Bing. Our responsibilities include delivering competitive search results, differentiated experiences, and product and business growth. We are constantly applying the... latest state of the art AI technologies to our product and also transferring this technology to other groups across the company. We sre seeking experienced data scientist to solve cutting-edge metrics and measurement problems in the space of Search, and lead cross-team initiatives. We believe metrics play a key role in executing on the strategy for building the final product. A critical part of the role is to advance our A/B experimentation capabilities for Bing and Microsoft Copilot by introducing advanced, powerful functionality at very large scale to eventually increase experimenter agility and depth of insights, and reduce infrastructure cost through smart design of data structures and computation methods. The role requires not only skills in data science, but also knowledge in data engineering and systems. You will work closely with multiple teams across S+D and beyond to build a measurement strategy and roadmap towards measuring how relevant, fresh, and authoritative our results are while being strategically differentiated from our biggest competitors. We expect you to work with Microsoft Research and the rest of academia to unravel complex problems in our products and push the limits of what AI can do for our customers. The world needs credible alternatives to find authoritative information on the web, so there is social responsibility. This Principal Data Scientist position is a very strategic position part of the S+D Bing Metrics and Analytics team. S+D itself is part of the broader Windows and Web Experiences Team (WWE) and this position will collaborate with and influence other data science and metrics groups in WWE such as Edge, MS Start, Maps, Bing Ads and more. If you are passionate about working on the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science, scale systems, UX, and product growth, this is the team you’re looking for! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities • Define, invent, and deliver online and offline behavioral and human labeled metrics which accurately measure the satisfaction and success of our customers interacting with Search. • Apply behavioral game theory and social science understanding to get the quality work out of crowd workers from around the world • Develop deep understanding of business metrics such as daily active users, query share, click share and query volume across all the relevant entry points • Influence the product and business direction through metrics analyses • Define and build systems and policies to ensure quality, stable, and performant code • Lead a team through analysis, design and code review that guarantee analysis and code quality and allow more junior members to learn and grow their expertise while helping the team build an inclusive interdisciplinary culture where everyone can do their best work • Make independent decisions for the team and handle difficult tradeoffs • Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders • Partner effectively with program management, engineers, finance, marketing, exec management, and other areas of the business Qualifications Required Qualifications: • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR equivalent experience. Preferred Qualifications: • 6+ years of experience coding in Python, C++, C#, C or Java. • Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action. • Organizational, analytical, data science skills and intuition. • Problem solver: ability to solve problems that the world has not solved before • Interpersonal skills: cross-group and cross-culture collaboration. • Experience with real world system building and data collection, including design, coding and evaluation. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay #WWE# #SearchDistribution# #Bing# Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations","Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.",Microsoft’s mission is to empower every person and every organization on the planet to achieve more.,Not specified,"['Define, invent, and deliver online and offline behavioral and human labeled metrics', 'Apply behavioral game theory and social science understanding', 'Develop deep understanding of business metrics']","['Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience', ""Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience"", ""Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience""]","['6+ years of experience coding in Python, C++, C#, C or Java', 'Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action', 'Organizational, analytical, data science skills and intuition']","USD $133,600 - $256,800 per year","['Inclusive work environment', 'Collaborative culture', 'Growth opportunities']" 422,Software Engineer - Agent AI,Applied Intuition,"Mountain View, CA","About the role We are looking for a software engineer with expertise in planning and control for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of our core simulation engine; specifically, your mission will be to make our simulated agent behaviors more realistic and easier for users to create. You will also drive the design and development of... products and add-ons that empower our customers' planning and control teams to tackle their engineering challenges faster and more sustainably than their competition. In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you! At Applied Intuition, you will: • Design and implement platform capabilities and product workflows that provide the best simulation tools for customer teams spanning intelligent behavior planning, control, and safety engineering • Build out foundational libraries that push our platform beyond the state of the art in terms of performance and fidelity for planning and controls development, such as scalable computational geometry or vehicle-terrain interaction models • Work closely with in-house and customer engineers to design and build supporting toolchains for these use cases, such as system identification or resimulation of disengagement events We're looking for someone who has: • A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems • Experience building software components or (sub) systems that address real-world planning and control challenges • Hands-on experience with more than one domain of relevant software framework or tools, such as middlewares, benchmarking suites, data sets, and related pipelines or algorithmic libraries • Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with Nice to have: • MSc or PhD in planning, control, or closely related field • Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systems • Experience building and shipping software frameworks or tools that are used by others outside of the authors of the framework The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices",Applied Intuition is a company focused on autonomous systems.,"The company culture is dynamic and customer-focused, with a focus on excellence.",Not specified,"['Design and implement platform capabilities and product workflows', 'Build out foundational libraries that push the platform beyond the state of the art', 'Work closely with in-house and customer engineers to design and build supporting toolchains']","['Passion for turning domain expertise into tooling that boosts productivity', 'Experience building software components or (sub) systems that address real-world planning and control challenges', 'Hands-on experience with more than one domain of relevant software framework or tools']","['MSc or PhD in planning, control, or closely related field', 'Deep hands-on expertise in relevant algorithms or methods', 'Experience building and shipping software frameworks or tools that are used by others outside of the authors of the framework']","$65,000 USD to $400,000 USD annually",['Not specified'] 423,DATA SCIENTIST,Mythical Games,"Mountain View, CA","We are looking for a highly-skilled Data Scientist with a strong background in statistics and programming. In this role, you will be responsible for creating and maintaining a variety of models - the job is never boring! This role is not assigned to any single project, but will be able to work on a variety of problems. Responsibilities: Participate in the full lifecycle of a model including... design, coding, most importantly testing, and release Collaborate with the data and analytics team, marketing team, and marketplace teams Work on models such as fraud, player churn, or causal inference Utilizing experimentation, help analyze and project optimal values ML visualizations Predictive analytics. ZREQUIREMENTS: Bachelor's Degree in a quantitative field, Ph.D. preferred 3 years of professional experience with Python Experience with Bayesian techniques Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc Familiarity with some of the following models: outlier detection, lifetime value modeling, or causal inference The ability to ELI5 Drive to learn and improve. Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications",Unspecified,Unspecified,Unspecified,"['Participate in the full lifecycle of a model including design, coding, testing, and release', 'Collaborate with the data and analytics team, marketing team, and marketplace teams', 'Work on models such as fraud, player churn, or causal inference', 'Utilizing experimentation, help analyze and project optimal values', 'ML visualizations', 'Predictive analytics']","[""Bachelor's Degree in a quantitative field"", '3 years of professional experience with Python', 'Experience with Bayesian techniques', 'Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc', 'Familiarity with some of the following models: outlier detection, lifetime value modeling, or causal inference']",['Ph.D.'],$80K -- $100K,['Unspecified'] 424,Data scientist marketing,Google,"Mountain View, CA","Minimum qualifications : • Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a related field, or equivalent practical experience. • 2 years of experience in a data science field... • Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e., SQL). • Experience leveraging data insights into storytelling for business stakeholders. Preferred qualifications : • PhD in Statistics or a related field. • 2 years of experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering / segmentation, and sampling methods. • Experience with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments. • Experience in controlled experiment design and causal inference methods. • Ability to prioritize requests and partner well in an environment with competing demands from stakeholders. • Excellent communication skills. About the job Google Ads Marketing aims to help advertisers of all sizes succeed with digital marketing. As a Business Data Scientist, you will work with a team to advance the science of Marketing to customers that use Google's advertising solutions. This is a unique opportunity to apply the tools of Data Science to accelerate Ads business growth, working cross-functionally with Sales, Marketing, and Product teams. You will perform data analytics, drive initiatives in experimentation, measurement, and advance machine learning modeling capability to support global marketing programs. In collaboration with a multidisciplinary team of Marketing, Product Management, Data Scientists, and Engineers, you will tap into the underlying data, develop and align on key metrics / methodologies, and generate insights that enable marketers to develop powerful, highly effective marketing programs. In this role, you will leverage core Data Science expertise to design, prototype, and build out analysis pipelines to support initiatives and Marketing campaigns at scale. You'll perform analytics, design and execute on experimentation, and conduct incremental measurement analysis to inform strategic decisions of the marketing programs across the entire Ads Marketing space, from acquisition, onboarding, growth, and retention. You will build investigative frameworks and measurement capabilities to generate data driven insights that drive business growth. The US base salary range for this full-time position is $127,000-$187,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Work with large, complex data sets. Solve complex analysis problems, applying advanced problem-solving methods (such as statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. • Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs. • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed. • Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities. Last updated : 2024-05-05",Google Ads Marketing aims to help advertisers of all sizes succeed with digital marketing.,Advance the science of Marketing to customers that use Google's advertising solutions.,N/A,"['Work with large, complex data sets', 'Solve complex analysis problems, applying advanced problem-solving methods (such as statistical and machine learning models) as needed', 'Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations', 'Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs', 'Build and prototype analysis pipelines iteratively to provide insights at scale', 'Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed', 'Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information', 'Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities']","[""Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a related field, or equivalent practical experience"", '2 years of experience in a data science field', 'Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e., SQL)', 'Experience leveraging data insights into storytelling for business stakeholders']","['PhD in Statistics or a related field', '2 years of experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering / segmentation, and sampling methods', 'Experience with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments', 'Experience in controlled experiment design and causal inference methods', 'Ability to prioritize requests and partner well in an environment with competing demands from stakeholders', 'Excellent communication skills']","$127,000-$187,000","['Bonus', 'Equity', 'Benefits']" 425,"Data Scientist, Risk Data Mining - USDS",TikTok,"Mountain View, CA","Responsibilities About TikTok U.S. Data Security... TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: - Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. - Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries. - Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks. Qualifications - Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles). - Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python. - Familarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications. - Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at usds.accommodations@tiktokusds.com This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. Job Information: 【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $144000 - $312444 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice",TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.,"To inspire creativity and bring joy. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.","Hybrid work schedule (3 days in office, 2 days remote)","['Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms', 'Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries', 'Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks']","['Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors', 'Solid data science skills', 'Proficiency in statistical analytical tools, such as SQL, R and Python']","['Familiarity with machine learning or social/content online platform analytics', 'Proficiency in modern machine learning applications']",$144000 - $312444 annually,"['100% premium coverage for employee medical insurance', 'Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care', 'Mental and emotional health benefits through our EAP and Lyra', 'Gym and cellphone service reimbursements', '401K company match']" 426,Senior Data Scientist,Qventus,"Mountain View, CA","About Us: Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions... proactively. About the Role: Qventus is looking for a Senior Data Scientist to help power the next generation of Qventus’s AI in our Inpatient solution. You’ll join a cross-functional team of clinicians, data scientists, data platform engineers, and product experts to help support optimized discharge planning and operations to get patients the right care faster and more efficiently across the country. As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus’ unique and rich healthcare dataset to develop cutting-edge solutions that leverage a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus intelligence and outcomes. You should be strongly motivated to impact the company and dedicated to helping improve the quality of healthcare and patient outcomes. What we do can meaningfully change and, in some cases, save lives. Key Responsibilities: • Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, mathematical, and statistical approaches. • Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas • Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings • Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners What We’re Looking For: • 3+ years of research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML • 2+ years of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform • Expertise with Python including an expansive of available data science libraries and util • Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines. • Hands-on experience building and maintaining production machine learning pipelines (experience with Sagemaker preferred) • Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability It’s a Plus if You Have… • Dedication to mentorship and growing strong collaborative data science teams • Experience working with productionalized Generative AI (ChatGPT etc.) • Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting • Strong cross-functional communication with technical and non-technical partners • Experience with healthcare data and industry • Practical hands-on experience with: Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. The salary range for this role is $170,000 to $190,000. This salary represents market data's middle to the high end across different geographies. We consider several factors when determining compensation, including location, experience, and the role’s responsibilities. Salary/OTE is just one component of Qventus’ total rewards package. Our benefits and perks currently include, but are not limited to: • Competitive medical, dental, and vision coverage with a 90% employer-paid premiums for employees option • Generous HSA contribution, when elected and participating in an eligible plan, up to $1,500 annual company contribution • Employer-provided (100% paid) Short Term and Long Term Disability insurance and Basic Life and AD&D insurance • 100% paid Parental and Pregnancy Leave • Monthly Wellness and Technology stipend up to $50 per month • Ability to participate in the 401(k) plan • Generous Stock Option awards We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/ This position does not provide visa sponsorship. Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test","Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients.","Simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients.",Not specified,"['Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, mathematical, and statistical approaches.', 'Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas', 'Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings', 'Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners']","['3+ years of research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML', '2+ years of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform', 'Expertise with Python including an expansive of available data science libraries and util', 'Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines.', 'Hands-on experience building and maintaining production machine learning pipelines (experience with Sagemaker preferred)', 'Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability']","['Dedication to mentorship and growing strong collaborative data science teams', 'Experience working with productionalized Generative AI (ChatGPT etc.)', 'Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting', 'Strong cross-functional communication with technical and non-technical partners', 'Experience with healthcare data and industry']","$170,000 to $190,000","['Competitive medical, dental, and vision coverage', 'Generous HSA contribution', 'Employer-provided Short Term and Long Term Disability insurance and Basic Life and AD&D insurance', '100% paid Parental and Pregnancy Leave', 'Monthly Wellness and Technology stipend', 'Ability to participate in the 401(k) plan', 'Generous Stock Option awards']" 427,"Data Scientist at NewsBreak in Mountain View, CA",NewsBreak,"Mountain View, CA","About the Role Responsibilities Solve ambiguous, challenging business problems using data-driven approaches. Design the framework of data analysis to drive business insight and facilitate decisions. Establish the standard work process and best practices for data science including analytics, experimentation, and modeling. Work closely with data engineers to build and improve the reliability... accuracy of the data logging and data pipelines. Work with stakeholders including senior executives, products, and design teams to improve the team's productivity and quality of output. Requirements MS or PhD degree in Statistics, Computer Science, Econometrics or equivalent quantitative field. 3 years of experience in analytical or data warehousing experience. Strong strategic thinking and problem solving skills. Experience with A/B test experiment design and analysis. Experience with exploratory data analysis, statistical analysis and testing, and machine learning models. Advanced SQL skills. Ability to use languages and tools like Python, R, Hive, Spark to work with large data sets. Excellent communication skills, both written and verbal. Bonus points Tech lead or management experience is a plus. Experience with ELT data processing and/or Lakehouse systems. Experience in productionization of algorithms and data pipelines. Experience in FP&A. Benefits Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications",,,,"['Solve ambiguous, challenging business problems using data-driven approaches', 'Design the framework of data analysis to drive business insight and facilitate decisions', 'Establish the standard work process and best practices for data science including analytics, experimentation, and modeling', 'Work closely with data engineers to build and improve the reliability... accuracy of the data logging and data pipelines', ""Work with stakeholders including senior executives, products, and design teams to improve the team's productivity and quality of output""]","['MS or PhD degree in Statistics, Computer Science, Econometrics or equivalent quantitative field', '3 years of experience in analytical or data warehousing experience', 'Strong strategic thinking and problem solving skills', 'Experience with A/B test experiment design and analysis', 'Experience with exploratory data analysis, statistical analysis and testing, and machine learning models', 'Advanced SQL skills', 'Ability to use languages and tools like Python, R, Hive, Spark to work with large data sets', 'Excellent communication skills, both written and verbal']",[],Salary Range: $80K -- $100K,[] 428,Staff data scientist,Walmart,"Mountain View, CA","Position Summary... What you'll do... As a Staff Data Scientist , you will be a Technical lead on Data science projects and work with Marketing stakeholders to take ownership of implementation and delivery responsibilities. You will develop ""intelligent"" features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning and NLP. About Team : We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems in marketing domain. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart. com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do : • Building advanced machine learning and deep learning models with various applications in marketing, such as customer targeting and personalized recommendation . • Build solutions that can be easily integrated into external frameworks or existing applications. • Select appropriate ML modeling techniques for complex problems with large-scale data. • Develop and iterate on features collaboratively with the business partners. • Establish best practices for model deployment, monitoring, and interpretability. • Ensure production-ready ML solutions with low latency inference times and risk assessment. • Running large-scale statistical A / B testing to evaluate the performance of machine learning and statistical models in marketing applications which drives millions of clicks to Walmart eCommerce per day. What you'll bring : • Master's degree / PhD in computer science, Statistics, Optimization, or related field plus 3 years' experience in a machine learning / deep learning related field . • Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform ( Python, R, SQL, Spark, Hive etc.). • Experienced with traditional as well as modern machine learning / statistical techniques , including A / B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning . • Experienced with end-to-end modeling projects emerging from research efforts. • You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions • You have consistently high standards, your passion for quality is inherent in everything that you do • You have the courage to fail fast • You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment • You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose. About Walmart Global Tech : Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, Hybrid Work : We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits : Benefits : Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer : Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and / or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1 : Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2 : Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3 : 6 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2. 2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 680 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-4834, United States of America Last updated : 2024-05-04","Walmart U.S. offers an extensive selection that customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store.","Improve the lives of customers by empowering team members, stores, and merchants with technological innovation.",Hybrid work,"['Building advanced machine learning and deep learning models with various applications in marketing', 'Building solutions that can be easily integrated into external frameworks or existing applications', 'Selecting appropriate ML modeling techniques for complex problems with large-scale data']","[""Master's degree in Computer Science, Statistics, Optimization, or related field plus 3 years' experience in a machine learning / deep learning related field""]","['PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics', 'Successful completion of one or more assessments in Python, Spark, Scala, or R', 'Using open source frameworks (for example, scikit learn, tensorflow, torch)']","$143,000.00-$286,000.00","['401(k) match', 'stock purchase plan', 'paid maternity and parental leave', 'PTO', 'multiple health plans']" 429,Credit Strategy Data Scientist,"Softworld, a Kelly Company","Mountain View, CA","Job Title: Credit Strategy Data Scientist Job Location: Draper, UT or San Jose, CA (This is a Hybrid work environment... Onsite Requirements: • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. • Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. • Proficiency in SQL, Python, Excel including key data science libraries. Job Description: • We are looking for a talented, enthusiastic, and dedicated person to join the Credit Risk Strategy team. • The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. • This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions: • Design rules to detect/mitigate loss. • Investigate novel/large cases. • Identify root cause. • Set strategy for different risk types. • Work with product/engineering to improve control capabilities. • Develop and present strategies and guide execution. • Drive results that maximize eligible customers while controlling losses Professional Experience/Background to be successful in this role: • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. • Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. • Experience using statistics and data science to solve complex business problems. • Proficiency in SQL, Python, Excel including key data science libraries. • Experience working with large datasets. • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes. • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. • Desirable to have experience or aptitude solving problems related to risk using data science and analytics. • Bonus: Experience with AWS, payment rule systems, and knowledge of credit products. Expected Outcome in 6-12 months: • Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers. • Utilize data analysis to design and implement credit strategies. • Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns. • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers. • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. • Development of dashboard and visualizations to track KPI of credit strategies implemented. Preferred Skills: • Data analytics • Rule development • Dashboard Creation • Project Management • Strong Communication • *3rd party and subcontract staffing agencies are not eligible for partnership in this position. 3rd party subcontractors need not apply. This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future",Online payments industry,Not provided,Hybrid,"['Design rules to detect/mitigate loss', 'Investigate novel/large cases', 'Identify root cause', 'Set strategy for different risk types', 'Work with product/engineering to improve control capabilities', 'Develop and present strategies and guide execution', 'Drive results that maximize eligible customers while controlling losses']","[""Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience"", 'Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry', 'Proficiency in SQL, Python, Excel including key data science libraries']","['Experience with AWS', 'Experience with payment rule systems', 'Knowledge of credit products']",Not provided,['Hybrid work environment'] 559,"Distinguished, Software Engineer - Generative AI & Assistants",Walmart,"Mountain View, CA","Position Summary... What you'll do... Summary The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team owns the main ""shopping assistant"" for the largest retailer in the country and builds the core AI platform on employee assistants for the largest private workforce is built. With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. We are looking for a Distinguished Engineer to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on technical leadership role which requires expertise at the intersection of large-scale distributed systems, machine learning, LLMs and more. Our AI assistants are rapidly incorporating LLMs and agent based architecture with custom fine tuned models. You can see more about the work our team does here in these article: https://medium.com/walmartglobaltech/tagged/voice-assistant https://www.forbes.com/sites/bernardmarr/2024/02/15/the-amazing-ways-walmart-is-using-generative-ai What you'll do: In this role, as a technical lead you will own the technical architecture and roadmap for the Conversational AI platform and Shopping Assistant. The list of responsibilities include • Define the AI assistant architecture leveraging generative AI in a rapidly evolving ecosystem • Partner with multiple teams as the senior platform architect and evangelize the architecture, enable integrations and support development of new AI assistants • Be up-to date on industry trends in the lates generative AI and AI assistant architecture patterns (eg: agent chaining, COT, RAG, LLM guardrails etc) • Work with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. • Be a thought leader of new GenAI capabilities, build prototypes to show case applications and evangelize with senior leaders and business partners. • Benchmarking industry against internal processes and solutions defining software development guidelines, standards, and processes sponsoring, developing, and influencing continuous improvement initiatives and experiments with innovative technologies evaluating and negotiating with external vendors and services • Oversee large-scale, complex, cross-functional projects by translating strategies and requirements into technical solutions • Review and improve the teams operation excellence posture and identify improvement in engineering processes • Partner closely with engineering directors and engineering managers to recruit, develop and retain the teams engineering staffs or experts in the owned cross cutting area. What you'll bring: • Extensive experience in the design, development, and delivery of software products with a large customer base, preferably in Conversational AI or machine learning based systems • Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications • Strong track record in an architect role with large-scale software development data backed services and applications. • A clear vision for architecture design and great communication skills to articulate that to all levels of stakeholders. • Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. • Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. • Experience working with geographically distributed teams. • Business acumen; combining technical vision with business insights. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. #LI-PL1 #LI-Hybrid At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ The annual salary range for this position is $169,000.00-$338,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and6 years' experience in software engineering or related area. Option 2: 8 years' experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America",Walmart builds and deploys core AI assistant experiences across Walmart.,To make life easier for hundreds of millions of people.,Hybrid work,"['Define the AI assistant architecture leveraging generative AI in a rapidly evolving ecosystem', 'Partner with multiple teams as the senior platform architect and evangelize the architecture, enable integrations and support development of new AI assistants', 'Be up-to-date on industry trends in the latest generative AI and AI assistant architecture patterns', 'Work with the applied scientists, ML engineers, software engineers and product managers to develop next-generation of AI assistant experiences']","[""Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years' experience in software engineering or related area"", ""8 years' experience in software engineering or related area""]","[""Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area"", 'Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly']","$169,000.00-$338,000.00","['401(k) match', 'Stock purchase plan', 'Paid maternity and parental leave', 'PTO', 'Multiple health plans']" 560,"Senior Staff, Research Engineer-Generative AI",Samsung Research America,"Mountain View, CA","Lab Summary: Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design... usability research, clinical research and validation, software development, AI / Gen AI, and regulatory submissions. Millions of Samsung users’ lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us! Position Summary: Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior Research Engineer with solid ML/AI/Generative AI/Large Language Model technology background and digital health-related research project experiences in digital biomarker, physiological signal process and multi-modality mobile sensing development. You need to have a strong track-record of success in academic and/or industrial settings. You will play a key role in delivering innovation in digital health domain, create technologies and intellectual properties, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid technical skills and project experiences in areas of generative AI and Large Language Models. You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience. Position Responsibilities: • Prepare proof-of-concept, demo / prototypes, design and execute pilot studies using Generative AI and Large Language Models. • Work with project team and contribute to dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs. • Lead the development of innovative ideas and generative AI algorithms based on noisy signals from sensors including, but not limited to, light, audio, physiological, and inertial sensor data collected both in lab and field settings. • Generate patents and scientific research papers for top-tier publications. Experience requirements: • Ph.D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areas or related field, or equivalent combination of education, training, and experience. • Demonstrable knowledge and experience in Generative AI, Large Language Models, and their applications on mobile sensor data collected in lab and in the wild. • 10+years of experience in one or more of the following programming languages: Python, Java, Android, MATLAB, R. • Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams. • Publications in top-tier AI computing venues including but not limited to NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL. Special Attributes: • Experience in NLP and Conversational AI. • Experience in LLM validation, reliability, toxicity/harmfulness avoidance. • Experience with building knowledge graphs from unstructured texts. • Experience with vector DB. • Strong mathematics background, especially statistics. • Turn the analyzed data into actionable insight and/or understandable visualization. • On-device implementation of ML/AI algorithms in C/C++/Java. • Clinical study design, IRB development, in-lab and/or in-the-wild data collection studies. • Product development and prototyping experience in order to implement and validate solutions. • Experience in designing and conducting studies of wearable devices or clinical-trials with human subjects both in lab and field settings. • Previous experience developing algorithms in healthcare research/industry using EMR/EHR and mobile/wearable sensor data. • Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data. • Proficiency in the Android/Tizen/iOS development environment with the ability to create fully working prototypes. • Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers. • Understanding of human factors, usability and comfort with wearable sensors. • Experience operating under HIPAA is a plus",Samsung Research America Digital Health Team,"Empower people to live healthier lives by leveraging wearables, smartphones, medical devices, AI, and health services",Not specified,"['Prepare proof-of-concept, demo / prototypes, design and execute pilot studies using Generative AI and Large Language Models', 'Work with project team and contribute to dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs', 'Lead the development of innovative ideas and generative AI algorithms based on noisy signals from sensors including, but not limited to, light, audio, physiological, and inertial sensor data collected both in lab and field settings', 'Generate patents and scientific research papers for top-tier publications']","['Ph.D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areas or related field, or equivalent combination of education, training, and experience', 'Demonstrable knowledge and experience in Generative AI, Large Language Models, and their applications on mobile sensor data collected in lab and in the wild', '10+years of experience in one or more of the following programming languages: Python, Java, Android, MATLAB, R', 'Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams', 'Publications in top-tier AI computing venues including but not limited to NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL']","['Experience in NLP and Conversational AI', 'Experience in LLM validation, reliability, toxicity/harmfulness avoidance', 'Experience with building knowledge graphs from unstructured texts', 'Experience with vector DB', 'Strong mathematics background, especially statistics', 'Turn the analyzed data into actionable insight and/or understandable visualization', 'On-device implementation of ML/AI algorithms in C/C++/Java', 'Clinical study design, IRB development, in-lab and/or in-the-wild data collection studies', 'Product development and prototyping experience in order to implement and validate solutions', 'Experience in designing and conducting studies of wearable devices or clinical-trials with human subjects both in lab and field settings', 'Previous experience developing algorithms in healthcare research/industry using EMR/EHR and mobile/wearable sensor data', 'Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data', 'Proficiency in the Android/Tizen/iOS development environment with the ability to create fully working prototypes', 'Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers', 'Understanding of human factors, usability and comfort with wearable sensors', 'Experience operating under HIPAA is a plus']",Not specified,"['exciting technical challenges', 'rewarding career experience']" 561,"Staff Software Engineer, AI Platform",LinkedIn,"Mountain View, CA","Company Description LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen... when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when your team needs to be together. Job Description This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn’s AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Staff Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities -Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. -Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models. -Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. -Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. -Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.). -Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms. Basic Qualifications: -Bachelor’s Degree in Computer Science or related technical discipline, or equivalent practical experience -4+ years of experience in the industry with leading/ building deep learning systems. -4+ years of experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages -Hands-on experience developing distributed systems or other large-scale systems. Preferred Qualifications: -BS and 8+ years of relevant work experienceMS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience -Previous experience working with geographically distributed co-workers. -Outstanding interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SRE/SWE Engineers, Project Managers, etc. -Experience building ML applications, LLM serving, GPU serving. -Experience with search systems or similar large-scale distributed systems -Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems -Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, -Co-author or maintainer of any open-source projects -Familiarity with containers and container orchestration systems -Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: -ML Algorithm Development -Experience in Machine Learning and Deep Learning -Experience in Information retrieval / recommendation systems / distributed serving / Big Data is a plus. -Communication -Stakeholder Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice","LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.",Create economic opportunity for every member of the global workforce.,Hybrid work options,"['Owning the technical strategy for broad or complex requirements', 'Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models', 'Improving the observability and understandability of various systems']","['Bachelor’s Degree in Computer Science or related technical discipline, or equivalent practical experience', '4+ years of experience in the industry with leading/building deep learning systems', '4+ years of experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages']","['BS and 8+ years of relevant work experience', 'MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience', 'Previous experience working with geographically distributed co-workers', 'Outstanding interpersonal communication skills']","$156,000 - $255,000","['Hybrid work options', 'Opportunities for career growth', 'Comprehensive health and wellness programs']" 562,AI Architect,Gen Digital,"Mountain View, CA","About Gen: Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they... can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives. Gen is the leader in digital safety products for consumers. As one of the largest security companies in the world, it uses next-gen technologies to protect users' digital life. The company differs from other next-gen companies in that it has an immense cloud-based machine learning backend that receives a constant stream of data from more than 500 million users, which facilitates learning at unprecedented speeds and makes AI engines smarter and faster than anyone else's. We grow our team of ambitious data scientists/enthusiasts utilizing AI including large generative models to enhance user safety on devices and in the digital space on the internet. Our teams of AI engineers hail from the top universities including UC Berkeley, Stanford, MIT, Charles U, Czech TU and collaborate globally in our US and European offices. If you are excited about AI and want to put your skills against a true adversary who wants to evade you at all costs, then come work with us to solve the next generation of user safety challenges. About this Role For our growing AI team, we are looking for AI Technical Director. You will be part of an AI research and innovation team developing cutting-edge solutions for protecting our customers' digital freedom. The solutions will be part of our engines deployed to millions of devices, and our intelligence platform in the cloud. Responsibilities: • Provide technical leadership in adopting the latest AI advances into solutions for the benefit of consumers. • Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications. • Establish best AI practices and follow them across project portfolio. • Define AI performance, accuracy and reliability metrics and implement their consistent measurement. • Define and implement AI safety measures. • Architect, develop and maintain scalable systems and infrastructures for data ingestion, transformation, analysis, model hosting, and inference. • Build and deploy AI solutions in multi-cloud environment. • Work on solutions with diverse teams from various functions of the company. • Document and communicate the results and insights of AI projects to exec-level audience. Key qualifications: • Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field; alternatively, a comparable industry career with a proven track record of successful projects. • Experience in developing and deploying industrial grade AI solutions • Experience in using AI frameworks, trending models and libraries, such as TensorFlow, PyTorch, GPT, Gemini, LaMDA, LangChain, Vertex AI, SageMaker, etc. • Experience in using cloud services and platforms, such as GCP, AWS, etc. • Enthusiasm, strong analytical mind, willingness to learn and desire to make things real. • Excellent communication and presentation skills. • Ability to work independently and in a team. Preferred Qualifications: • Large software project experience with multi-threaded, multi-process distributed computing environments and correct Software Engineering practices • Hands-on experience with Linux, Bash, GIT, Docker, Kubernetes, continuous integration, package deployment and dependency management • Knowledge of cybersecurity and digital safety concepts such as threat detection, scam detection, social engineering, incident response, identity management, etc. #LI-AS1 Salary Ranges: $249,000.00 - $290,100.00 The pay range depicts a base salary range for all positions except commission-based roles. The pay range for commission-based roles represents On Target Earnings (annual base salary + target annual commission). Additional compensation elements may be offered including an opportunity for bonus incentives and also competitive benefits package. Actual compensation offered will be determined by factors such as the external/internal market demand, location, level, job-related knowledge, skills, and experience. Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds. We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. Gen complies with all anti-discrimination laws. To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government","Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner.",Powering Digital Freedom by protecting consumers and giving them control of their digital lives.,Not specified,"['Provide technical leadership in adopting the latest AI advances into solutions for the benefit of consumers.', 'Research, architect and implement state-of-the-art AI techniques.', 'Establish best AI practices and follow them across project portfolio.', 'Define AI performance, accuracy and reliability metrics and implement their consistent measurement.', 'Define and implement AI safety measures.', 'Architect, develop and maintain scalable systems and infrastructures for data ingestion, transformation, analysis, model hosting, and inference.', 'Build and deploy AI solutions in multi-cloud environment.', 'Work on solutions with diverse teams from various functions of the company.', 'Document and communicate the results and insights of AI projects to exec-level audience.']","['Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field;', 'Experience in developing and deploying industrial grade AI solutions', 'Experience in using AI frameworks, trending models and libraries.', 'Experience in using cloud services and platforms.', 'Enthusiasm, strong analytical mind, willingness to learn and desire to make things real.', 'Excellent communication and presentation skills.', 'Ability to work independently and in a team.']","['Large software project experience with multi-threaded, multi-process distributed computing environments and correct Software Engineering practices', 'Hands-on experience with Linux, Bash, GIT, Docker, Kubernetes, continuous integration, package deployment and dependency management', 'Knowledge of cybersecurity and digital safety concepts.']","Salary Ranges: $249,000.00 - $290,100.00","['Competitive benefits package', 'Opportunity for bonus incentives']" 563,"Senior Software Engineer, AI",Recruiting from Scratch,"Mountain View, CA","Who is Recruiting from Scratch : Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global... Management, A16Z, Accel, DFJ, and more. https://www.recruitingfromscratch.com/ About The Role Sunnyvale, US / On-site / In-office (≥4 days a week) Who We Are Started in 2021, our client is building the best business AI video system on the market. Powered by the next-generation video artificial intelligence, they deliver unprecedented insights and 10x better user experience than the incumbents of the vast but stagnant video security industry. Their happy customers range from warehouses, schools, hospitals, hotels, and many more, and they are growing rapidly. They are looking for someone to join our team to help them scale our systems to meet the user demand and to ship new features. Team you will work with The team are serial entrepreneurs and experts in AI and robotics. The engineering team is composed of industry experts with decades of research and experience from Lyft, Google, Zoox, Toyota, Facebook, Microsoft, Stanford, Oxford, and Cornell. Being part of their team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to their customers in a high-velocity startup. The role Their stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of their edge-computing stack In this role, you will be: • Building edge applications processing vision data and communication layers for the compute-constrained edge devices. • Deploying machine learning models to production. • Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU. • Building observability and telemetry. Requirements And Experience We Are Looking For • 3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory. • Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code. • Experience with Docker, CI / CD pipelines. • It would be great if you also have experience with one or more: • Edge/IoT computing (they have a fleet of deployed edge computers). • Infrastructure management (they use Salt). • Monitoring (they use Grafana). • Video processing & Streaming (they use Gstreamer). • Experience Interfacing ML Models (they use PyTorch). • High intrinsic motivation to succeed and ability to work hard. Salary Range: $150,000-$220,000 base. • Flexible PTO & Sick Policy • Medical, Dental, and Vision insurance • 401k https://www.recruitingfromscratch.com","Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies.",Our team is 100% remote and we work with teams across the United States to help them hire.,On-site / In-office (≥4 days a week),"['Building edge applications processing vision data and communication layers for the compute-constrained edge devices', 'Deploying machine learning models to production', 'Optimizing the platform runtime for maximum performance', 'Building observability and telemetry']","['3+ years of experience writing production software in C++ and Python', 'Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code', 'Experience building applications processing real-time data and optimizing them for latency and memory']","['Experience with Docker, CI / CD pipelines', 'Experience with infrastructure management (Salt)', 'Experience with monitoring (Grafana)', 'Experience with video processing & Streaming (Gstreamer)', 'Experience Interfacing ML Models (PyTorch)']","$150,000-$220,000 base","['Flexible PTO & Sick Policy', 'Medical, Dental, and Vision insurance', '401k']" 564,AI Principal Scientist/AI Technical Director,Gen,"Mountain View, CA","About Gen: Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they... can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives. Gen is the leader in digital safety products for consumers. As one of the largest security companies in the world, it uses next-gen technologies to protect users’ digital life. The company differs from other next-gen companies in that it has an immense cloud-based machine learning backend that receives a constant stream of data from more than 500 million users, which facilitates learning at unprecedented speeds and makes AI engines smarter and faster than anyone else’s. We grow our team of ambitious data scientists/enthusiasts utilizing AI including large generative models to enhance user safety on devices and in the digital space on the internet. Our teams of AI engineers hail from the top universities including UC Berkeley, Stanford, MIT, Charles U, Czech TU and collaborate globally in our US and European offices. If you are excited about AI and want to put your skills against a true adversary who wants to evade you at all costs, then come work with us to solve the next generation of user safety challenges. About This Role For our growing AI team, we are looking for AI Technical Director. You will be part of an AI research and innovation team developing cutting-edge solutions for protecting our customers’ digital freedom. The solutions will be part of our engines deployed to millions of devices, and our intelligence platform in the cloud. Responsibilities: • Provide technical leadership in adopting the latest AI advances into solutions for the benefit of consumers. • Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications. • Establish best AI practices and follow them across project portfolio. • Define AI performance, accuracy and reliability metrics and implement their consistent measurement. • Define and implement AI safety measures. • Architect, develop and maintain scalable systems and infrastructures for data ingestion, transformation, analysis, model hosting, and inference. • Build and deploy AI solutions in multi-cloud environment. • Work on solutions with diverse teams from various functions of the company. • Document and communicate the results and insights of AI projects to exec-level audience. Key qualifications: • Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field; alternatively, a comparable industry career with a proven track record of successful projects. • Experience in developing and deploying industrial grade AI solutions • Experience in using AI frameworks, trending models and libraries, such as TensorFlow, PyTorch, GPT, Gemini, LaMDA, LangChain, Vertex AI, SageMaker, etc. • Experience in using cloud services and platforms, such as GCP, AWS, etc. • Enthusiasm, strong analytical mind, willingness to learn and desire to make things real. • Excellent communication and presentation skills. • Ability to work independently and in a team. Preferred Qualifications: • Large software project experience with multi-threaded, multi-process distributed computing environments and correct Software Engineering practices • Hands-on experience with Linux, Bash, GIT, Docker, Kubernetes, continuous integration, package deployment and dependency management • Knowledge of cybersecurity and digital safety concepts such as threat detection, scam detection, social engineering, incident response, identity management, etc. Salary Ranges: $249,000.00 - $290,100.00 The pay range depicts a base salary range for all positions except commission-based roles. The pay range for commission-based roles represents On Target Earnings (annual base salary + target annual commission). Additional compensation elements may be offered including an opportunity for bonus incentives and also competitive benefits package. Actual compensation offered will be determined by factors such as the external/internal market demand, location, level, job-related knowledge, skills, and experience. Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds. We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. Gen complies with all anti-discrimination laws. To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government","Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner.",Powering Digital Freedom by protecting consumers and giving them control of their digital lives.,N/A,"['Provide technical leadership in adopting the latest AI advances into solutions for the benefit of consumers.', 'Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications.', 'Establish best AI practices and follow them across project portfolio.', 'Define AI performance, accuracy and reliability metrics and implement their consistent measurement.', 'Define and implement AI safety measures.', 'Architect, develop and maintain scalable systems and infrastructures for data ingestion, transformation, analysis, model hosting, and inference.', 'Build and deploy AI solutions in multi-cloud environment.', 'Work on solutions with diverse teams from various functions of the company.', 'Document and communicate the results and insights of AI projects to exec-level audience.']","['Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field', 'Experience in developing and deploying industrial grade AI solutions', 'Experience in using AI frameworks, trending models and libraries, such as TensorFlow, PyTorch, GPT, Gemini, LaMDA, LangChain, Vertex AI, SageMaker, etc.', 'Experience in using cloud services and platforms, such as GCP, AWS, etc.', 'Enthusiasm, strong analytical mind, willingness to learn and desire to make things real', 'Excellent communication and presentation skills', 'Ability to work independently and in a team']","['Large software project experience with multi-threaded, multi-process distributed computing environments and correct Software Engineering practices', 'Hands-on experience with Linux, Bash, GIT, Docker, Kubernetes, continuous integration, package deployment and dependency management', 'Knowledge of cybersecurity and digital safety concepts such as threat detection, scam detection, social engineering, incident response, identity management, etc.']","Salary range: $249,000.00 - $290,100.00","['Competitive benefits package', 'Opportunity for bonus incentives']" 567,"Machine Learning Engineer, Gen AI Innovation Center, AWS",Amazon,"Mountain View, CA","Machine Learning Engineer, Gen AI Innovation Center, AWSAmazon launched the Generative AI (GenAI) Innovation Center (GAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center). Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.As a Machine Learning Engineer in GAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You'll design and run... experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.Key job responsibilitiesOur ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for the intersection of software development with generative AI and machine learning. You’ll also:- Solve complex technical problems, often ones not solved before, at every layer of the stack.- Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.- Build high-quality, highly available, always-on products.- Research implementations that deliver the best possible experiences for customers.A day in the lifeAs you design and code solutions to help our team drive efficiencies in ML architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:- Build high-impact ML solutions to deliver to our large customer base.- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work cross-functionally to help drive business solutions with your technical input.- Work in a startup-like development environment, where you’re always working on the most important stuff.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.""Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.We are open to hiring candidates to work out of one of the following locations:Atlanta, GA, USA | Austin, TX, USA | Boston, MA, USA | Chicago, IL, USA | Dallas, TX, USA | Herndon, VA, USA | Jamaica Plain, MA, USA | Jersey City, NJ, USA | Mountain View, CA, USA | Seattle, WA, USA- 3+ years of non-internship professional software development experience- 3+ years of programming with at least one software programming language experience- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing machine learning systems experience- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.- Prior experience in training and fine-tuning of Large Language Models (LLMs), or experience with various inference engines.- Master’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site. #J-18808-Ljbffr",Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.,AWS values diverse experiences.,flexible work hours and arrangements,"['Design, implement, test, deploy and maintain innovative ML solutions', 'Research implementations that deliver the best possible experiences for customers', 'Build high-quality, highly available, always-on products']",['Master’s degree in computer science or equivalent'],"['3+ years of non-internship professional software development experience', '3+ years of programming with at least one software programming language experience', '3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing machine learning systems experience']","$115,000/year - $223,600/year","['health insurance', 'retirement plans', 'paid time off']" 626,Staff Business Data Analyst,Intuit,"Mountain View, CA","Come join the Quickbooks Marketing Analytics team as a Staff Business Data Analyst for our web acquisition channel. You will be joining a team that is responsible for driving marketing decisions through data-backed insights, bringing new customers to the Quickbooks ecosystem of products. As a web channel analyst, you will drive a deeper understanding of our Web conversion funnel, help identify... areas of opportunity, and optimize the site experience for potential and existing Quickbooks customers. Responsibilities • Drive opportunity identification and sizing in our web funnel, unlocking critical web optimization and experimentation efforts to drive new customer acquisition growth • Work closely with our business performance analytics, web marketing, and web analytics teams to understand and quantity web drivers of ongoing Quickbooks customer acquisition and size performance of web acquisition projects • Own and improve the core set of dashboards for web funnel to unlock speed of insights across the analytics and marketing organization • Drive improvements to web analytics instrumentation and data architecture to unlock new metrics and insights, as well as improving the durability of data pipelines and data signals • Lead the construction of web funnel reporting and data narratives to senior leaders to power strategic web marketing decisions",Quickbooks,Driving marketing decisions through data-backed insights,Not specified,"['Drive opportunity identification and sizing in our web funnel', 'Work closely with our business performance analytics, web marketing, and web analytics teams', 'Own and improve the core set of dashboards for web funnel', 'Drive improvements to web analytics instrumentation and data architecture', 'Lead the construction of web funnel reporting and data narratives to senior leaders']",[],[],Not specified,['Not specified'] 627,Staff Business Data Analyst,Intuit Inc.,"Mountain View, CA","2024-52617 - Copy or share job URLStaff Business Data Analyst Location(s):Mountain View, California ... Apply NowApply LaterJoin Talent Community Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Job Overview Come join the Quickbooks Marketing Analytics team as a Staff Business Data Analyst for our web acquisition channel. You will be joining a team that is responsible for driving marketing decisions through data-backed insights, bringing new customers to the Quickbooks ecosystem of products. As a web channel analyst, you will drive a deeper understanding of our Web conversion funnel, help identify areas of opportunity, and optimize the site experience for potential and existing Quickbooks customers. Qualifications 5+ years of experience in web analytics, analyzing web traffic patterns, segment performance, and conversion funnels Experienced in advanced statistical analysis, test design, and marketing attribution Practical experience constructing data pipelines and ETL utilizing SQL and Python, as well as data solutions from cloud platforms Comfortable manipulating and analyzing large complex datasets (e.g. clickstream data) required Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence marketing leadership Deep understanding of AI/ML models in marketing attribution and personalization applications Experience working in enterprise web analytics platforms like Adobe Analytics Bachelor’s degree in a quantitative field or equivalent work experience, advanced degree preferred Responsibilities Drive opportunity identification and sizing in our web funnel, unlocking critical web optimization and experimentation efforts to drive new customer acquisition growth Work closely with our business performance analytics, web marketing, and web analytics teams to understand and quantity web drivers of ongoing Quickbooks customer acquisition and size performance of web acquisition projects Own and improve the core set of dashboards for web funnel to unlock speed of insights across the analytics and marketing organization Drive improvements to web analytics instrumentation and data architecture to unlock new metrics and insights, as well as improving the durability of data pipelines and data signals Lead the construction of web funnel reporting and data narratives to senior leaders to power strategic web marketing decisions Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $152,500-206,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. EmilyIntuit employee""One of the things that stands out about Intuit is the impact that we have on our customers. Whether it's helping them yearly with their taxes or every day with their finances, it is truly satisfying to know that we’re using our resources and knowledge to power prosperity for millions of people around the world."" Award-winning culture, best-in-class benefits Culture and values Intuit's company culture is rooted in our core values, which promote an innovative and inclusive environment where diverse perspectives and new ideas are celebrated. More about Intuit life play_arrow Benefits we offer People who give their best deserve the best in return. We offer rewards that include everything you’d expect, and even more that you wouldn’t. Enjoy the best in class perks and benefits at Intuit. More about our benefits play_arrow Hiring process From set-up to sign-off, everything you need to know for a successful interview with Intuit, including how to request reasonable interview accommodations. More about our hiring process play_arrow EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law. Related Content We’re deploying AI and ML innovation at massive scale to make a real difference for our customers. Find Out More Helping women share expertise, build community, and grow their careers. Read More",Intuit is the global financial technology platform that powers prosperity for the people and communities we serve.,We believe that everyone should have the opportunity to prosper.,Not mentioned,"['Drive opportunity identification and sizing in our web funnel', 'Work closely with business performance analytics, web marketing, and web analytics teams', 'Own and improve the core set of dashboards for web funnel', 'Drive improvements to web analytics instrumentation and data architecture', 'Lead the construction of web funnel reporting and data narratives to senior leaders']","[""Bachelor's degree in a quantitative field or equivalent work experience"", 'Advanced degree preferred']","['5+ years of experience in web analytics', 'Experience in advanced statistical analysis, test design, and marketing attribution', 'Practical experience constructing data pipelines and ETL utilizing SQL and Python', 'Strong data storytelling skills']","Base pay range: $152,500-206,000","['Competition compensation package', 'Strong pay for performance rewards approach', 'Cash bonus', 'Equity rewards', 'Benefits']" 630,Data Analyst,L&T Technology Services,"Mountain View, CA","The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities... • Understand the day-to-day issues that our business faces, which can be better understood with data • Compile and analyze data related to business' issues • Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications • Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience • 1 - 2 years' Data Analysis experience • Proficient in SQL",,,,"['Understand the day-to-day issues that our business faces, which can be better understood with data', ""Compile and analyze data related to business' issues"", 'Develop clear visualizations to convey complicated data in a straightforward fashion']","[""Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience"", ""1 - 2 years' Data Analysis experience"", 'Proficient in SQL']",[],,[] 631,Staff Technical Data Analyst,Intuit,"Mountain View, CA","Intuit is currently seeking a passionate and data-driven individual to join its Finance and Operations Analytics team. The successful candidate for this role will be responsible for transforming Intuit Finance and Operations through the application of machine learning, predictive analytics, and actionable insights. In this position, you will be key in performing company level analyses... identifying and implementing AI/ML opportunities, and executing data-based decisions. This role presents a unique combination of both finance and data analytics, and requires someone who is highly analytical, strategic, an excellent communicator and is comfortable with ambiguity. The ideal candidate must have the ability to independently manage their own data, identify and measure business and growth drivers, and provide insights for a broader audience. Responsibilities of the role include building reporting dashboards, deriving insights from existing datasets, defining success metrics for new initiatives, and building models to enable accurate forecasting. You will also have the opportunity to work cross-functionally with Business Operations, Data Science, Finance, and Engineering teams. Responsibilities • Aligning KPIs & Metrics: Work with cross-functional teams to drive alignment on KPIs and crucial metrics that help track team-specific and company-wide trends, growth initiatives, and overall business performance. • Developing Machine Learning Models: Develop Machine Learning models to forecast critical financial metrics that impact the business's growth and success. Mange end to end aspects of complex analytics model/project build (i.e., scope, requirements gathering/finalizing, stakeholder management, communication, project management) • Generate Insights: Leverage statistical methods, perform causal analysis, analyze data, and generate insights into the drivers of the business. • Building Dashboards and Data: Collaborate with the team to design and build comprehensive dashboards and data sets to support Finance and Operations decision-making processes",Intuit is a financial software company,To power prosperity around the world,Hybrid,"['Developing Machine Learning models', 'Building reporting dashboards', 'Generating insights from data']","['Strong analytical skills', 'Experience with data analytics']","['Experience with machine learning', 'Strong communication skills']",Competitive salary,"['Health insurance', 'Retirement plan', 'Paid time off']" 632,Data Analyst I - FT - Days - Concern: EAP,El Camino Health,"Mountain View, CA","El Camino Health is committed to hiring, retaining and growing the best and brightest professionals who will carry our mission and vision forward. We are proud of our reputation in the community: One built on compassion, innovation, collaboration and delivering high-quality care. Come join the team that makes this happen. Applicants MUST apply for position(s) by submitting a separate application... for each individual job posting number they are interested in being considered for. FTE 1 Scheduled Bi-Weekly Hours 80 Work Shift Day: 8 hours Job Description • Data Analyst will understand the database structure and schema of our case management software, design and run reports in the system or with additional tools such as SQL or Tableau, analyze key data and make meaningful recommendations to the Concern management team. • This position will provide key insights into the business processes and any improvements required by mining the data and gathering trends and insights. • The Data Analyst will collaborate with the development teams to test features and functionality and identify the root cause of issues as well as track and communicate status of defects. Qualifications • Bachelor’s degree in a technology or science related field. ** • Three (3) years in an analyst position having related responsibilities and duties preferred • Advanced Excel and Office suite skills. Statistical computational skills. • Advanced knowledge of relational databases such as Access, SQL, Amazon Aurora • Ability to understand complex data and interpret business needs in simple terms. • Ability to understand the data, database structure, schema and functionality of case management software and client-facing digital platform and design, query, run reports • Ability to conceptualize and design data dashboards and reports. • Excellent communication and interpersonal skills. • Strong organizational skills and ability to problem solve, prioritize tasks and think critically. • Ability to understand customer needs. • Experience collaborating with software development teams to test, track, and communicate status of defects • Experience working with Jira or other project management tools • * In lieu of a degree, an additional 4 years of experience may be considered. License/Certification/Registration Requirements None Salary Range: $36.13 - $54.20 USD Hourly The Physical Requirements and Working Conditions of this job are available. El Camino Health will provide reasonable accommodations to qualified individuals with a disability if that will allow them to perform the essential functions of a job unless doing so creates an undue hardship for the hospital, or causes a direct threat to these individuals or others in the workplace which cannot be eliminated by reasonable accommodation. Sedentary Work - Duties performed mostly while sitting; walking and standing at times. Occasionally lift or carry up to 10 lbs. Uses hands and fingers. - (Physical Requirements-United States of America) An Equal Opportunity Employer: El Camino Health seeks and values a diverse workforce. The organization is an equal opportunity employer and makes employment decisions on the basis of qualifications and competencies. El Camino Health prohibits discrimination in employment based on race, ancestry, national origin, color, sex, sexual orientation, gender identity, religion, disability, marital status, age, medical condition or any other status protected by law. In addition to state and federal law, El Camino Health also follows all applicable fair and equitable employment policies from the County of Santa Clara","El Camino Health is committed to hiring, retaining and growing the best and brightest professionals who will carry our mission and vision forward. We are proud of our reputation in the community: One built on compassion, innovation, collaboration and delivering high-quality care.","Compassion, innovation, collaboration, and delivering high-quality care",Not specified,"['Understand the database structure and schema of our case management software, design and run reports in the system or with additional tools such as SQL or Tableau, analyze key data and make meaningful recommendations to the Concern management team', 'Provide key insights into the business processes and any improvements required by mining the data and gathering trends and insights', 'Collaborate with the development teams to test features and functionality and identify the root cause of issues as well as track and communicate status of defects']","['Bachelor’s degree in a technology or science related field', 'Three (3) years in an analyst position having related responsibilities and duties', 'Advanced Excel and Office suite skills', 'Statistical computational skills', 'Advanced knowledge of relational databases such as Access, SQL, Amazon Aurora', 'Ability to understand complex data and interpret business needs in simple terms', 'Ability to understand the data, database structure, schema and functionality of case management software and client-facing digital platform and design, query, run reports', 'Ability to conceptualize and design data dashboards and reports', 'Excellent communication and interpersonal skills', 'Strong organizational skills and ability to problem solve, prioritize tasks and think critically', 'Ability to understand customer needs']","['Experience collaborating with software development teams to test, track, and communicate status of defects', 'Experience working with Jira or other project management tools']",$36.13 - $54.20 USD Hourly,['Not specified'] 633,Data Analyst,HireRocket,"Mountain View, CA","Extract, organize and analyze media buying performance data while using various tools, interface with the data engineering team, investigate and present results of requests for ad hoc data analysis and more. Full-time entry level option for remote job. ... Estimated Salary: $20 to $28 per hour based on qualifications",,,full-time entry level option for remote job,"['Extract, organize and analyze media buying performance data', 'Interface with the data engineering team', 'Investigate and present results of requests for ad hoc data analysis']",[],[],$20 to $28 per hour based on qualifications,[] 635,"Jr Data Analyst - Mountain View, CA 94043",Georgia IT Inc.,"Mountain View, CA","Job Title : Jr Data Analyst Location : Mountain View, CA 94043 Position Type : Contract... Rate : Doe US Citizen, Green Card, H4 EAD and GC EAD only Job Description: • Gather business requirements and determine most effective and efficient reporting platform • Design and develop metrics and reports, dashboards and analyses to drive key business decisions • Conduct large scale data analysis and modeling to derive actionable insights • Review outputs for trends • Work with team to conduct root cause analyses and communicate improvement recommendations Profile Requirements : • Coding experience with Javascript, Apps Script, SQL and/or BigQuery • Strong background in KPI Dashboards development and automation and information systems management • Strong visualization experience – charts, bars, images, dynamic reports etc. • Some exposure to Procurement, Planning and Product Lifecycle Management functions • Excellent Oral/Written Communication and Stakeholder management Skills • Excellent analytical and problem solving skills • Self driven, ability to work in an unstructured environment with minimal supervision About the Company: Georgia IT Inc",Georgia IT Inc,,,"['Gather business requirements and determine most effective and efficient reporting platform', 'Design and develop metrics and reports, dashboards and analyses to drive key business decisions', 'Conduct large scale data analysis and modeling to derive actionable insights', 'Review outputs for trends', 'Work with team to conduct root cause analyses and communicate improvement recommendations']","['Coding experience with Javascript, Apps Script, SQL and/or BigQuery', 'Strong background in KPI Dashboards development and automation and information systems management', 'Strong visualization experience – charts, bars, images, dynamic reports etc.', 'Some exposure to Procurement, Planning and Product Lifecycle Management functions', 'Excellent Oral/Written Communication and Stakeholder management Skills', 'Excellent analytical and problem solving skills', 'Self driven, ability to work in an unstructured environment with minimal supervision']",[],Rate: Doe,[] 636,Data Analyst,SPIN Analytics and Strategy,"Palo Alto, CA","Position: Data Analyst (Red shift) & Mode Analytics Location: Palo Alto, CA Mode of Interview... Prefer Face-Face after Skype round What we are looking for: Data Analyst who can write queries against Red shift. Produce reports on Mode Analytics and then automate publishing those reports to slack. (Client will help with the slack automation) Looking for professional who can work autonomously with minimal super vision. Education: BS degree in specific technical fields like computer science, math, statistics preferred. Thanks, Yaswanth Technical Recruiter SPIN ANALYTICS AND STRATEGY LLC. Ph. (408)-495-3247 Email: yaswanthb@spin-strategy. com http: //www. spinanalyticsandstrategy. com http: //www. linkedin. com/in/i-yash-recruiter. Estimated Salary: $20 to $28 per hour based on qualifications",Spin Analytics and Strategy LLC,,,"['Write queries against Red shift', 'Produce reports on Mode Analytics', 'Automate publishing reports to slack']","['BS degree in specific technical fields like computer science, math, statistics']",[],$20 to $28 per hour based on qualifications,[] 637,Data Analyst,SotaTek,"Mountain View, CA","Job Description: As a Data Analyst focused on Warehousing, you will play a crucial role in analyzing and interpreting data to support business decision-making processes. Key Responsibilities... • Developing and maintaining databases, and data systems – reorganizing data in a readable format • Performing analysis to assess the quality and meaning of data • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction • Preparing reports for the management stating trends, patterns, and predictions using relevant data • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends. Working Location: The job will be onsite at Mountain View, CA Compensation & Benefits: Benefits can be discussed in detail during the interview Requirements • Demonstrated expertise in SQL programming. • Experience in creating technical documentation such as Requirement Documents and Source to Target Sheets. • Proficiency in developing User Acceptance Tests for metrics validation. • Strong collaboration and communication skills to work effectively with cross-functional teams. Job Type: Full-time Salary: $4,000.00 - $6,000.00 per month Experience level: • 4 years Schedule: • Monday to Friday Work Location: In person",,,In person,"['Developing and maintaining databases, and data systems – reorganizing data in a readable format', 'Performing analysis to assess the quality and meaning of data', 'Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets', 'Preparing reports for the management stating trends, patterns, and predictions using relevant data', 'Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies', 'Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends']","['Demonstrated expertise in SQL programming', 'Experience in creating technical documentation such as Requirement Documents and Source to Target Sheets', 'Proficiency in developing User Acceptance Tests for metrics validation', 'Strong collaboration and communication skills to work effectively with cross-functional teams']",[],"$4,000.00 - $6,000.00 per month",[] 638,Senior Technical Data Analyst,Intuit,"Mountain View, CA","We are looking for an experienced technical data Analyst who is an expert at analytics methodologies as it relates to Gen AI measurement, incrementality measurement frameworks and driving change management. We are building Gen AI capabilities across the team of 650+ analysts and want the analyst to lead the development of platform business analytics across all Intuit Assist offerings. Must have... deep knowledge of ETL and data warehousing. As we will need to ensure we can create new new source to target mapping for Gen OS metrics and product clickstream data. We have an exciting opportunity to shape analytics for GenAI, bringing together products and GenAI LLMs to make a tangible impact on customer experience. If you have an excellent understanding of data architectures and the acumen to map the business needs to technology, analytical skills, and a passion for delivering data-driven insights, join us! Responsibilities • Driving data models and definitions: Creating a single source of truth for multiple analytics and AI teams to extract value from data, delivering scalable, repeatable, effective, and meeting the expectations of various stakeholders and leaders. In addition, provide ongoing recommendations to leadership utilizing complex data, business knowledge, and strategic assumptions when data doesn’t exist. Partner closely with applied scientists, engineers, and designers to lead a cross-functional roadmap spanning investments in modeling, customer experiences and scalable infrastructure • Communication and Change Management: You will guide product analytics teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner • Analytics Methodologies: You will create learning and measurement plans for experiments and campaigns to define instrumentation and data collection requirements. By partnering with data engineering to scale and automate analytics on new products and initiatives, you will build reports to drive discussions, facilitate decision-making, and provide actionable insights. You can identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve",Intuit,"Delivering data-driven insights, driving change management, and bringing together products and GenAI LLMs to make a tangible impact on customer experience",Not specified,"['Driving data models and definitions', 'Communication and Change Management', 'Analytics Methodologies']","['Expertise in analytics methodologies', 'Deep knowledge of Gen AI measurement, incrementality measurement frameworks']","['Deep knowledge of ETL and data warehousing', 'Excellent understanding of data architectures', 'Passion for delivering data-driven insights']",Not specified,"['Competitive salary', 'Benefits package', 'Opportunity to shape analytics for GenAI']" 660,Data Quality Analyst I,Insight Global,"Palo Alto, CA","Required Skills and Experience * • Bachelor's degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience) • Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts... • Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment. • Ability to manage ambiguity, uncertainty, and changing priorities with limited resources. • Ability to accept and integrate continuous feedback while remaining professional. • Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team. • Quick learner and self-starter with strong problem-solving skills. Job Description * • Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines. • Collaborate with team members to identify improvements to the labeling interface or labeling processes in order to drive efficiency and high-quality. • Complete assignments by deadlines while meeting team expectations and goals",,,,"['Accurately label machine learning data through various methods to refine AI models', 'Collaborate with team members to identify improvements to the labeling interface or labeling processes in order to drive efficiency and high-quality', 'Complete assignments by deadlines while meeting team expectations and goals']","[""Bachelor's degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience)"", 'Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts', 'Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment', 'Ability to manage ambiguity, uncertainty, and changing priorities with limited resources', 'Ability to accept and integrate continuous feedback while remaining professional', 'Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team', 'Quick learner and self-starter with strong problem-solving skills']",[],,[] 661,"Data Analyst, Supply Chain",Tesla,"Palo Alto, CA","Palo Alto, CA Palo Alto, CA Full-time Full-time Estimated: $72. 3K - $91. 5K a year Estimated: $72. 3K - $91. 5K a year 9 days ago 9 days ago 9 days ago What to Expect As a Data Analyst on the Supply Chain Management team, you will analyze and visualize data to help with the successful launch and scale of our various programs and so that we can make better decisions as a company. In particular, you will be the lead for ensuring that the large supply chain datasets we have are effectively utilized by the global supply management team. What You'll Do Create reports and data visualizations to guide decision-making across the supply chain team Respond promptly, accurately and efficiently to data requests and questions Support supply chain with master data updates as needed Drive data integrity including identifying and acquiring missing information Communicate your findings effectively to anyone in the company from executives to engineers Proactively identify inconsistencies in the data... through your visualizations and with statistical tests Continuously improve SQL and python skills, helping you automate repetitive work and multiply yourself Experiment and learn rapidly What You'll Bring Bachelor's degree in a quantitative field and/or equivalent experience or evidence of exceptional deductive ability Expert in data analysis, visualization, and communication, with prior full-time work experience strongly preferred Experience creating dashboards/visualizations using, e. g. , Tableau (or similar) Detail-oriented/relentless, willing to find cracks in the system to expose problems Proficient in Advanced MS Excel, SQL and Python. Data visualization programs such as Tableau and PowerBi are preferred. Experience in supply chain / manufacturing Program Management helpful Ability to work in a fast-paced start-up technology environment and deliver excellent results Strong communication skills, and ability to work with multiple stakeholders. Experienced in Sourcing, MRP and fulfilment systems is plus Highly proficient in automation and supply chain analytics. Estimated Salary: $20 to $28 per hour based on qualifications","Palo Alto, CA",,,"['Analyze and visualize data to help with the successful launch and scale of various programs', 'Create reports and data visualizations to guide decision-making across the supply chain team', 'Respond promptly, accurately and efficiently to data requests and questions', 'Support supply chain with master data updates as needed', 'Drive data integrity including identifying and acquiring missing information', 'Communicate findings effectively to anyone in the company from executives to engineers', 'Proactively identify inconsistencies in the data through visualizations and with statistical tests', 'Continuously improve SQL and python skills, helping automate repetitive work and multiply yourself', 'Experiment and learn rapidly']","[""Bachelor's degree in a quantitative field and/or equivalent experience or evidence of exceptional deductive ability"", 'Expert in data analysis, visualization, and communication, with prior full-time work experience strongly preferred', 'Proficient in Advanced MS Excel, SQL and Python', 'Data visualization programs such as Tableau and PowerBi are preferred', 'Experience in supply chain / manufacturing Program Management helpful', 'Ability to work in a fast-paced start-up technology environment and deliver excellent results', 'Strong communication skills, and ability to work with multiple stakeholders', 'Experienced in Sourcing, MRP and fulfilment systems is plus', 'Highly proficient in automation and supply chain analytics']",[],$72.3K - $91.5K a year,[] 662,Data Analyst II,amazon,"Palo Alto, CA","Data Analyst (Contract) Please note that this is a contract role providing services to Amazon via Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Amazon... This position will be responsible for: • Support effective decision-making through economic, financial and market analysis of critical issues, including capacity planning, price and cost modeling, and returns on investment. •Support the capacity forecasting, budgeting and reporting efforts for operating expense, capital and resource allocation. •Design and coordinate the development of systems and tools to keep pace with the group’s growing and rapidly changing businesses. Job Qualifications •Undergraduate degree in business, finance, engineering, or a related field. A graduate degree (MBA or equivalent) and 3-6 years of capacity experience. •Strong analytic skills and a demonstrated ability to build and manage financial models for business forecasting, variance analysis, and problem solving. •Direct experience in operations or capacity planning a plus. •Fluency in standard software including MS Excel. Knowledge of SQL is a strong plus. •Strong communication skills – both written and verbal. •Successful characteristics for the position are the ability to maintain a high level of attention to detail, the ability to work independently, adjust priorities, and work in a continuously changing environment. AGS is an equal Opportunity/Affirmative Action Employer (M/F/Disability/Veterans). We Will consider all applications without regard to race, gender, sexual orientation, gender identity, age, color, religion, national origin, veteran status, disability, genetic information or any other status protected by applicable law",Amazon via Allegis Global Solutions,,,"['Support effective decision-making through economic, financial and market analysis of critical issues, including capacity planning, price and cost modeling, and returns on investment', 'Support the capacity forecasting, budgeting and reporting efforts for operating expense, capital and resource allocation', 'Design and coordinate the development of systems and tools to keep pace with the group’s growing and rapidly changing businesses']","['Undergraduate degree in business, finance, engineering, or a related field', 'Strong analytic skills and a demonstrated ability to build and manage financial models for business forecasting, variance analysis, and problem solving', 'Fluency in standard software including MS Excel', 'Knowledge of SQL is a strong plus']",[],,[] 663,Data Analyst,Argo Ai,"Palo Alto, CA","Who we are: Argo AI is a global self-driving products and services company on a mission to make the world's streets and roadways safe, accessible, and useful for all. Our technology is built to enable commercial services for autonomous delivery and ridesharing in cities. With experienced leaders in the field and collaborative partnerships with some of the world's top consumer brands, we're working block by block, city by city to empower people and businesses to be more successful. We're individuals driven by strong values to solve complex problems together. Come join us to reimagine the human journey. Meet the team: Argo's Fleet Operations team is where the rubber meets the road in public road testing of autonomous vehicles. From daily software release evaluations, to demonstrations, to mapping, and on to specialized vehicle test requests only able to be performed on public roads. We do this as the business needs require, where and when is most strategic to realizing our... mission: building self-driving technology you can trust. The Argo Vehicle Operations team is seeking someone to join our team as a Data Analyst. At the heart of it, this role will be responsible for developing and managing information to support decision making. You will also create, manage and improve existing reporting systems and perform complex analyses. You will have regular interaction with senior leaders and provide consulting and analytic services to leadership in addition to providing technical support and mentoring and training to less senior analysts as the role grows. What you'll do: Gather data, structure problems, and perform analyses. Research technical and business issues Work cross-functionally to analyze opportunities, synthesize findings, and drive insights. Act as part of the ongoing team to translate recommendations into results Present data-driven recommendations and optimize our current go-to-market strategy Track and report key performance metrics regarding fleet utilization and output, with detailed analysis of how each is supporting Argo's mission Build analytics dashboards using mostly off-the-shelf tools Using dashboards, create regular reports that will be presented and reviewed by the data services team Help analyze and understand gaps in reporting Document process and playbooks for analysis Create 'source of truth' tables and dashboards that the company (and our team) can use to identify, diagnose and address issues Understand input data and data roadmaps from other teams across the company to ensure that the top-level funnels are well defined and understood Build scalable analytical frameworks; partner with engineering teams to drive instrumentation of new metrics, if/where we determine this is needed Develop tooling and improve processes to increase data efficiency and accuracy Work with cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues Effectively and proactively communicate insights, contribute to team presentations and leadership reviews, and drive projects to completion to hit team goals Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts Assist with new product experimentation including plan creation, roll-out, and monitoring What you'll need to succeed: Bachelor's Degree, Masters Degree with some focus or concentration in statistic, data analysis, data science 5 years of experience in analytics or a closely related field High proficiency with business intelligence tools and SQL Experience working with Data Warehouses like Redshift, BigQuery, or Snowflake Strong understanding of statistics and experience with business intelligence and data analysis Ability to manage and prioritize conflicting objectives Excellent problem solving and troubleshooting, implementing solutions, and documenting results Strong desire to learn new skills related to technology and software Excellent communication skills with the ability to span a large and varied workforce Proven self-starter mindset and the ability to work independently or with minimal supervision Detail oriented/good organizational skills Occasional travel to remote offices and test facilities Established strong analysis and presentation skills including advanced use of Excel or G Sheets and Powerpoint or G Slides Solid written and verbal communication skills, including presentation skills Capable of operating successfully in unstructured and highly dynamic environments Basic understanding of experimental design (such as A/B experiments) and statistical methods Ability and experience in extracting insights from data, and summarizing learnings / takeaways Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar) What we offer you: High-quality individual and family medical, dental, and vision insurance Competitive compensation packages Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Adoption & Surrogacy Assistance Program Paid medical leave 30 day paid sabbatical upon 5 years of employment Unlimited vacation Complimentary daily lunches, beverages, and snacks Pre-tax commuter benefits Monthly wellness stipend Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives. Salary Range: $80K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications","Argo AI is a global self-driving products and services company on a mission to make the world's streets and roadways safe, accessible, and useful for all.",Building self-driving technology you can trust,Not specified,"['Gather data, structure problems, and perform analyses', 'Research technical and business issues', 'Work cross-functionally to analyze opportunities, synthesize findings, and drive insights', 'Act as part of the ongoing team to translate recommendations into results', 'Present data-driven recommendations and optimize our current go-to-market strategy', ""Track and report key performance metrics regarding fleet utilization and output, with detailed analysis of how each is supporting Argo's mission"", 'Build analytics dashboards using mostly off-the-shelf tools', 'Using dashboards, create regular reports that will be presented and reviewed by the data services team', 'Help analyze and understand gaps in reporting', 'Document process and playbooks for analysis', ""Create 'source of truth' tables and dashboards that the company (and our team) can use to identify, diagnose and address issues"", 'Understand input data and data roadmaps from other teams across the company to ensure that the top-level funnels are well defined and understood', 'Build scalable analytical frameworks; partner with engineering teams to drive instrumentation of new metrics, if/where we determine this is needed', 'Work with cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues', 'Effectively and proactively communicate insights, contribute to team presentations and leadership reviews, and drive projects to completion to hit team goals', 'Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts', 'Assist with new product experimentation including plan creation, roll-out, and monitoring']","[""Bachelor's Degree"", '5 years of experience in analytics or a closely related field', 'High proficiency with business intelligence tools and SQL']","['Masters Degree with some focus or concentration in statistic, data analysis, data science', 'Experience working with Data Warehouses like Redshift, BigQuery, or Snowflake', 'Strong understanding of statistics and experience with business intelligence and data analysis', 'Ability to manage and prioritize conflicting objectives', 'Excellent problem solving and troubleshooting, implementing solutions, and documenting results', 'Strong desire to learn new skills related to technology and software', 'Excellent communication skills with the ability to span a large and varied workforce', 'Proven self-starter mindset and the ability to work independently or with minimal supervision', 'Detail oriented/good organizational skills', 'Occasional travel to remote offices and test facilities', 'Established strong analysis and presentation skills including advanced use of Excel or G Sheets and Powerpoint or G Slides', 'Solid written and verbal communication skills, including presentation skills', 'Basic understanding of experimental design (such as A/B experiments) and statistical methods', 'Ability and experience in extracting insights from data, and summarizing learnings / takeaways', 'Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)']",$80K,"['High-quality individual and family medical, dental, and vision insurance', 'Competitive compensation packages', 'Employer-matched 401(k) retirement plan with immediate vesting', 'Employer-paid group term life insurance and the option to elect voluntary life insurance', 'Paid parental leave', 'Adoption & Surrogacy Assistance Program', 'Paid medical leave', '30 day paid sabbatical upon 5 years of employment', 'Unlimited vacation', 'Complimentary daily lunches, beverages, and snacks', 'Pre-tax commuter benefits', 'Monthly wellness stipend', 'Professional development reimbursement', 'Employee assistance program', 'Discounted programs that include legal services, identity theft protection, pet insurance, and more']" 664,CUSTOMER DATA ANALYST,ScoreData,"Palo Alto, CA","Description Hands-on data scientist position to work on specific customer projects from MVP to production using ScoreFast(™) – ScoreData’s technology stack. You will analyze data, build predictive models, experiment with new algorithms and techniques. You will experience and be responsible for the entire lifecycle of the project from conception to design to technology evaluation to pilot program... to implementation to maintenance and support. You should be energetic, love to experiment and be focused on customer success. Responsibilities • Work on specific customer data analytics project from start to finish. • Understand, document and deliver customer projects using the ScoreFast(™) technology. • Focus on customer satisfaction and success • Work closely with other team members to deliver projects. • Explore new uses cases / ideas to solve customer challenge. • May require travel to customer sites based on need basis. Qualifications • B.S or or higher in the area of data science, computer science, statistics, mathematics, physics, engineering, operations research or other quantitative analytical field from a reputed school • 3 years of working experience with at least 2 years’ experience with performing customer analytics projects • 2+ years’ experience with Machine Learning and Data Mining • 2+ years using R or Python for data analytics • 1+ year working with data in Hadoop and /or Spark ecosystem • Comfortable articulating technical problems at a business value level • Knowledge of Github, JIRA, Confluence, Jenkins is preferred • Languages: Python, Java/Scala, • DataBase: MySQL, HBase Apply To apply please send your resume and a covering letter to: careers@scoredata.com Employment Type Full-time Job Location Palo Alto, USA Date posted January 17, 2018",ScoreData is a company that specializes in providing data analytics solutions.,Focused on customer success,Not specified,"['Work on specific customer data analytics project from start to finish', 'Understand, document and deliver customer projects using the ScoreFast(™) technology', 'Focus on customer satisfaction and success', 'Work closely with other team members to deliver projects', 'Explore new uses cases / ideas to solve customer challenge', 'May require travel to customer sites based on need basis']","['B.S or or higher in the area of data science, computer science, statistics, mathematics, physics, engineering, operations research or other quantitative analytical field from a reputed school', '3 years of working experience with at least 2 years’ experience with performing customer analytics projects', '2+ years’ experience with Machine Learning and Data Mining', '2+ years using R or Python for data analytics', '1+ year working with data in Hadoop and /or Spark ecosystem', 'Comfortable articulating technical problems at a business value level', 'Languages: Python, Java/Scala', 'DataBase: MySQL, HBase']","['Knowledge of Github, JIRA, Confluence, Jenkins']",Not specified,['Not specified'] 665,Research Data Analyst Stanford University,Abs Data,"Palo Alto, CA","Job title: Research Data Analyst Company: Stanford University... Job description: Learn about our array of employee benefits, what makes Stanford life unique, and our commitment to diversity, equity and inclusion. Areas of Work Together, we’re working towards our collective future. Find your role by browsing our areas of work. ☰ Research Data Analyst New Research 11 hours ago Post Date 101621 Requisition # Apply for Job Share this Job Sign Up for Job Alerts Stanford University is seeking a Research Data Analyst 1 to Manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. • – Other duties may also be assigned Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. The pay range for this position working in the California Bay area is $32,240-48,500.00 All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. DESIRED QUALIFICATIONS: Master’s degree or a combination of education and relevant experience in computational biology or bioinformatics. Experience in DNA, RNA extraction and quality control, library preparation, sequencing, and data analysis. Familiarities to machine learning and deep learning algorithms. EDUCATION & EXPERIENCE (REQUIRED): Bachelor’s degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • – Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Additional Information • Schedule: Part-time • Job Code: 4751 • Employee Status: Regular • Grade: G • Department URL: • Requisition ID: 101621 • Work Arrangement : Hybrid Eligible My Submissions Track your opportunities. Similar Listings Stanford, California, United States Research Post Date: May 18, 2021 Stanford, California, United States Research Post Date: Nov 28, 2023 Stanford, California, United States Research Post Date: Sep 13, 2023 © Stanford University. All rights reserved. Global Impact We believe in having a global impact Climate and Sustainability Stanford’s deep commitment to sustainability practices has earned us a Platinum rating and inspired a new school aimed at tackling climate change. Medical Innovations Stanford’s Innovative Medicines Accelerator is currently focused entirely on helping faculty generate and test new medicines that can slow the spread of COVID-19. Technology From Google and PayPal to Netflix and Snapchat, Stanford has housed some of the most celebrated innovations in Silicon Valley. Advancing Education Through rigorous research, model training programs and partnerships with educators worldwide, Stanford is pursuing equitable, accessible and effective learning for all. Working Here We believe you matter as much as the work I love that Stanford is supportive of learning, and as an education institution, that pursuit of knowledge extends to staff members through professional development, wellness, financial planning and staff affinity groups. Nora Cata School of Engineering I get to apply my real-world experiences in a setting that welcomes diversity in thinking and offers support in applying new methods. In my short time at Stanford, I’ve been able to streamline processes that provide better and faster information to our students. Phillip Cheng Office of the Vice Provost for Student Affairs Besides its contributions to science, health, and medicine, Stanford is also the home of pioneers across disciplines. Joining Stanford has been a great way to contribute to our society by supporting emerging leaders. Denisha Clark School of Medicine I like working in a place where ideas matter. Working at Stanford means being part of a vibrant, international culture in addition to getting to do meaningful work. Laura Lind Office of the President and Provost Getting Started We believe that you can love your job Join Stanford in shaping a better tomorrow for your community, humanity and the planet we call home. • 4.2 Review Ratings • 81% Recommend to a Friend Resources Resources Equal Opportunity and Disability Accommodations Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. See ; ; . Equal Opportunity and Disability Accommodations Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. See Expected salary: $32240 – 48500 per year Location: Stanford, CA Job date: Thu, 07 Dec 2023 06:20:37 GMT #Research #Data #Analyst [Link available when viewing the job] [ad_2] #J-18808-Ljbffr","Stanford University is committed to diversity, equity and inclusion.","Promoting anti-racism and equity through policies, programs, and practices at all levels.",Hybrid eligible,"['Manage and analyze large amounts of information', 'Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data', 'Create databases and reports, develop algorithms and statistical models, and perform statistical analyses', 'Collaborate with faculty and research staff on data collection and analysis methods', 'Provide documentation based on audit and reporting criteria to investigators and research staff', 'Communicate with government officials, grant agencies and industry representatives']","['Bachelor’s degree or a combination of education and relevant experience', 'Experience in a quantitative discipline such as economics, finance, statistics or engineering', 'Substantial experience with MS Office and analytical programs', 'Strong writing and analytical skills', 'Ability to prioritize workload']","['Master’s degree or a combination of education and relevant experience in computational biology or bioinformatics', 'Experience in DNA, RNA extraction and quality control, library preparation, sequencing, and data analysis', 'Familiarities to machine learning and deep learning algorithms']","$32,240 - $48,500 per year","['Employee benefits', 'Diversity, equity and inclusion', 'Continuous learning and improvement']" 666,Senior Data Analyst,Scilex Pharmaceuticals Inc.,"Palo Alto, CA","Salary Range: $114,000 - $131,000 The pay range for this position is expected to be between $114,000 - $131,000/annually; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick... time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including reasons related to individual performance, Company or individual department/team performance, and market factors. Scilex Holding Company’s pay range data is provided in accordance with local state pay transparency regulations. Scilex Holding Company may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements. Scilex Holding Company is committed to equal employment opportunities, and a workplace that embraces diversity and inclusion for qualified individuals of all backgrounds. About Scilex SCILEX HOLDING COMPANY (Nasdaq: SCLX, “Scilex”), is an innovative revenue-generating company focused on acquiring, developing and commercializing non-opioid pain management products for the treatment of acute and chronic pain. We are uncompromising in our focus to become the global pain management leader committed to social, environmental, economic, and ethical principles to responsibly develop pharmaceutical products to maximize quality of life. The company’s lead product ZTlido® (lidocaine topical system) 1.8%, is a marketed prescription lidocaine topical product approved by the U.S. Food and Drug Administration for the relief of pain associated with Post-Herpetic Neuralgia (PHN), which is a form of post-shingles nerve pain. ZTlido® possesses novel delivery and adhesion technology designed to address many of the limitations of current prescription lidocaine patches by providing significantly improved adhesion and continuous pain relief throughout the 12-hour administration period. Click here for ZTLido’s Important Safety Information and US Prescribing Information. We have acquired two FDA approved non-opioid pain products, GLOPERBA and ELYXYBTM, for the treatment of gout in adults and oral solution for the acute treatment of migraine, with or without aura, in adults. We launched ELYXYBTM in the U.S. in April 2023 and are planning to commercialize GLOPERBA in 2024. Our three product candidates are (i) SP-102 (10 mg, dexamethasone sodium phosphate viscous gel) (“SEMDEXATM”), a Phase 3, novel, viscous gel formulation of a widely used corticosteroid for epidural injections to treat lumbosacral radicular pain, or sciatica and has received Fast Track Status from the FDA. Currently there is no FDA approved non-opioid epidural injection to treat lumbosacral radicular pain, or sciatica; (ii) SP-103 (lidocaine topical system) 5.4%, (“SP-103”), a Phase 2, next-generation, triple-strength formulation of ZTlido, for the treatment of low back pain (“LBP”) and has received Fast Track Status from the FDA; and (iii) SP-104 (4.5 mg, low-dose naltrexone hydrochloride delayed-release capsules) (“SP-104”), a novel low-dose delayed-release naltrexone hydrochloride being developed for the treatment of fibromyalgia. If these product candidates are approved by the FDA, we believe each of them could become the treatment option for their respective indications in the United States. SCILEX is committed to harnessing the power of revolutionary delivery technologies designed to safely and effectively provide therapies to those who need them the most. Scilex Pharmaceuticals and Semnur Pharmaceuticals are wholly-owned subsidiaries of Scilex Holding Company. If you’re a high-energy, compassionate, and collaborative individual with a strong desire to make a difference in patient’s lives, we encourage you to consider joining the Scilex Holding team! Role and Responsibilities The Senior Data Analyst acts as the SME for commercial data, reporting and analytics workstreams for Scilex portfolio, including in-market, late stage, and early-stage pipeline products. This position will report to Associate Director, Sales Ops & Commercial Analytics within the Commercial Department. Will be primarily responsible for collection, curation of commercial data, creation, and delivery of standard reports & dashboards for executive and other home office decision makers and targeting/secondary data analytics. Conducts thorough data analysis and develops data flows aligned to strategic vision. Understands and considers the business implications of data and communicates with impacted groups, as necessary. Implements appropriate processes for defining data requirements with external and internal partners. Coordinates internally & externally to define, document, and execute the setup, quality, cadence, and method of delivery of data files. These efforts will provide a fact-based way to measure and monitor business performance. As such, the Sr. Data Analyst will help set the foundation to identify and address business-critical questions along with other insights and outputs delivered by the larger Commercial team. Key Responsibilities • Collaborate with Commercial team to help synthesize insights in a streamlined manner. • Architect complex data-centric and business intelligence solutions. • Support advanced analytics efforts, such as HCP/account segmentation/targeting, subnational field effort analytics, marketing mix optimization, commercial ROI studies, and operational specialty pharmacy/specialty distributor channel analytics. • Develop first-hand knowledge of datasets and function as data expert to navigate emerging business needs and evolving data landscape. • Execute reporting suite for Commercial decision makers to enable “one view” of the market, ensuring single-source-of-truth reporting in collaboration with Commercial stakeholders. Master all Commercial data via governance and stewardship. • Continuously improve quality of data content, context, and associated business rules to ensure front-end usability of commercial data. • Consult with data custodians/IT to ensure safe custody, transport, and storage of commercial data and implementation of business rules. • Manage complexities of fragmented data sets from Scilex Holding’s distribution partners in context of specialty distribution model for applicable products. • Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality. • Identify and track key performance indicators, such as product market share, duration of therapy, patient compliance, etc., using select claims and electronic health record data sources. • Ensure that data flows and calculations are properly implemented on an ongoing basis. • Ensure that the reporting suite is continuously relevant and meets emerging business needs by performing periodical audit. • Monitor automated data collection, analytics, and cleansing infrastructure. • Capture, develop, and document data definitions, business rules, and data quality requirements. Perform Quality Checks and implement controls for Sales and Marketing data. • Lead KPI definitions effort in partnership with various functional and operational leaders. Document and manage KPI definitions. Qualifications and Education Requirements • Bachelor’s degree (business discipline preferred). • 5-7 years’ experience as a Data Analyst or in a similar role working directly with clinical healthcare data (e.g., medical claims, pharmacy claims, population-health data, EMR etc.) • Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). • Prior experience developing business requirements documents and managing data projects. • Experience designing enterprise reporting solutions driven by a data lake, data warehouse or operational data store. • Strong analytical/critical thinking skills to address situations with operational complexity. • Coding skills and/or Analytical Tools experience (Alteryx/R/SAS/SQL/Tableau etc.) preferred. • Experience with using retail and specialty pharmacy data preferred. • Adept communication skills, including ability to summarize complex issues concisely and listen effectively to concerns and problems. • Cross-functional collaboration skills. Ability to work with people at various levels of the organization, including but not limited to, Marketing, Sales, Sales Operations, Managed Markets, Access Teams, Finance, IT, and other functions within and outside of Commercial. • Experience in implementation and/or management of CRM/SFA platforms, Sales Reports & Analytics, and business systems. • Good understanding of data security concepts. • Experience in coding ETL extraction tools. • Experience working with AWS databases, especially Redshift and EMR. • The role may require occasional travel (0-25%). Preferred Skills • Experience with business intelligence tools / platforms is a plus. • Experience using Power Query, Power Pivot, Alteryx a plus. • Experience analyzing healthcare data a plus. • Understanding of medical coding system (CPT, ICD-10, DRG, etc.) a plus. • Experience managing data and/or analytics vendors preferred of business rules. • Manage complexities of fragmented data sets from Scilex Holding’s distribution partners in context of specialty distribution model for applicable products. • Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality. • Identify and track key performance indicators, such as product market share, duration of therapy, patient compliance, etc., using select claims and electronic health record data sources. • Ensure that data flows and calculations are properly implemented on an ongoing basis. • Ensure that the reporting suite is continuously relevant and meets emerging business needs by performing periodical audit. • Monitor automated data collection, analytics, and cleansing infrastructure. • Capture, develop, and document data definitions, business rules, and data quality requirements. Perform Quality Checks and implement controls for Sales and Marketing data. • Lead KPI definitions effort in partnership with various functional and operational leaders. Document and manage KPI definitions","Scilex Holding Company is an innovative revenue-generating company focused on acquiring, developing and commercializing non-opioid pain management products for the treatment of acute and chronic pain.","Committed to social, environmental, economic, and ethical principles to responsibly develop pharmaceutical products to maximize quality of life.",Not specified,"['Collaborate with Commercial team to help synthesize insights in a streamlined manner', 'Architect complex data-centric and business intelligence solutions', 'Support advanced analytics efforts']","['Working knowledge of pharmaceutical industry data sources', 'Prior experience developing business requirements documents and managing data projects']","[""Bachelor's degree (business discipline preferred)"", ""5-7 years' experience as a Data Analyst or in a similar role working directly with clinical healthcare data""]","$114,000 - $131,000/annually","['Medical benefits', '401(k) eligibility', 'Vacation', 'Sick time', 'Parental leave']" 667,"Data Analyst, Supply Chain",Tesla,"Palo Alto, CA","As a Data Analyst on the Supply Chain Management team, you will analyze and visualize data to help with the successful launch and scale of our various programs and so that we can make better decisions as a company. In particular, you will be the lead for ensuring that the large supply chain datasets we have are effectively utilized by the global supply management team. Job posting details for... Data Analyst, Supply Chain at Tesla in Palo Alto, California. Compensation / salary range: $68,000 - $234,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. ClimateTechList gathers 33,000+ job openings from over 1,810 climate tech companies and updates them daily",Tesla,ClimateTech,Not specified,"['Analyze and visualize data', 'Ensure effective utilization of large supply chain datasets', 'Support global supply management team']","['Data analysis skills', 'Supply chain management knowledge', 'Experience with large datasets']",[],"$68,000 - $234,000/annual salary","['cash and stock awards', 'benefits']" 668,Senior Data Analyst,ActiveHours,"Palo Alto, CA","Company Description Make anyday pay day... Activehours is reinventing the way people get paid by giving them immediate access to the money they've earned. We're looking for passionate hackers, thinkers, and innovators to push our product even further. We celebrate victory, don't shy from failure, and are always learning. Join our tight-knit team in a highly collaborative environment, where you'll help shape the next stages of our roadmap from inception to production. Your work will help people access their pay and change their financial futures. If that sounds like your dream job, we want to hear from you. Job Description Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a rapidly growing company, with an established product-market fit, on the verge of scaling. As a live-service software company, data analysis and insights drive the product roadmap and trajectory of the company. A history of analytical excellence and driving actionable insights at prior companies is critical for this role. The Senior Data Analyst will report directly to the Head of Growth, but will also work closely with the CEO and executive team. As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools, and set the direction of analytics for the product. Responsibilities: • Deep-dive, synthesize, and articulate actionable next steps by leveraging our full ecosystem of data sources (in-app data, 3rd party tools, industry trends, consumer research) • Hypothesis-driven testing, including defining, facilitating, and analyzing A/B testing • Define strategy and execution for business intelligence and live operations reporting, including dashboards and alerts. • Recommend analytical tools to implement in partnership with developers and the Head of Growth • Lifetime value and cohort tracking Qualifications • Minimum of 3 years of demonstrable experience in digital data and measurement (live service mobile applications and experience scaling product a plus) • Deep expertise in SQL. Experience in Python and R a plus • Bachelor's degree in mathematics, statistics, computer science, or related quantitative field. Master's degree a plus • Must be an effective communicator to peers and upper management • Deep experience in hypothesis-driven data investigation • Must possess a results-driven attitude and be able to handle multiple deadlines and projects • Fearless personality: willing to question the accepted wisdom and disagree with colleagues when the data supports it Additional Information Press from the past two months: • http://www.buzzfeed.com/carolineodonovan/the-end-of-payday-how-activehours-is-giving-freelancers-more# • http://www.thefeed.us/gadgets/apps-wish-thought-first/ • http://roadwarriorvoices.com/2015/06/02/startup-allows-lyft-drivers-and-other-hourly-workers-to-get-paid-sooner/ • http://www.washingtonpost.com/blogs/wonkblog/wp/2015/06/15/workers-in-america-have-problems-meet-the-technologies-trying-to-solve-them/ • http://socialracemedia.com/activehours-app-waiting-for-paychecks-is-a-thing-of-the-past/ • http://www.forbes.com/sites/elainepofeldt/2015/05/31/startup-aims-to-free-lyft-drivers-and-hourly-workers-from-cash-flow-crunch",Activehours is reinventing the way people get paid by giving them immediate access to the money they've earned.,"We celebrate victory, don't shy from failure, and are always learning.",Not specified,"['Deep-dive, synthesize, and articulate actionable next steps', 'Hypothesis-driven testing', 'Define strategy and execution for business intelligence and live operations reporting', 'Recommend analytical tools to implement in partnership with developers and the Head of Growth', 'Lifetime value and cohort tracking']","['3 years of demonstrable experience in digital data and measurement', ""Bachelor's degree in mathematics, statistics, computer science, or related quantitative field"", 'Deep expertise in SQL']","['Python', 'R', ""Master's degree""]",Not specified,['Not specified'] 756,Data Engineer,Kofi Group,"Palo Alto, CA","To Apply for this Job Click Here Responsibilities... • Develop, design, refine, adjust, and evaluate ETL pipelines or systems to enhance our Machine Learning and Analytics capabilities. • Ensure data integrity throughout its lifecycle by implementing safeguards, health checks, and alerts. • Collaborate closely with clients to gain profound insights into their data ecosystems, effectively consolidating our data models for predictive analysis. • Foster a deep understanding of relevant data domains, codebase, and systems. • Demonstrate expertise in data engineering, data architecture, programming, and software engineering. • Exercise discretion in choosing methods and techniques to achieve solutions. • Operate independently, utilizing available resources to overcome challenges and meet deadlines by employing sound judgment and problem-solving abilities. • Become proficient in internal development standards, progressively managing tasks and projects of increasing complexity from coding to code release. • Collaborate with Data Science, Product Managers, and Software Engineers to develop robust ETL pipelines that empower the Product Support team to deliver compelling user experiences. • Display empathy for customers to ensure that data processes and workflows meet their needs. Requirements • Demonstrated passion for data and machine learning to drive positive outcomes. • Bachelor’s degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field. • At least 2 years of hands-on industry experience in data engineering. • Proficiency in event backbone and job pool platforms (e.g., Kafka). • Willingness to engage extensively with various internal and client software solutions. • Experience in client interaction and translating client requirements into valuable features. • Over 2 years of experience with Typescript, Python (Django), and the development of complex ETL pipelines. • Hands-on experience in SQL database design, data modeling, and data mining. • Demonstrated ability to quickly grasp new technologies. Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin. Startups we have recruited for are backed by Andreessen Horowitz, Lightspeed Venture Partners, Wing Venture Capital, Index Ventures, Redpoint, Amplify Partners, Foundation Capital, GV, and several other top venture capital firms. To Apply for this Job Click Here","Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin. Startups we have recruited for are backed by Andreessen Horowitz, Lightspeed Venture Partners, Wing Venture Capital, Index Ventures, Redpoint, Amplify Partners, Foundation Capital, GV, and several other top venture capital firms.",None,None,"['Develop, design, refine, adjust, and evaluate ETL pipelines or systems to enhance our Machine Learning and Analytics capabilities', 'Ensure data integrity throughout its lifecycle by implementing safeguards, health checks, and alerts', 'Collaborate closely with clients to gain profound insights into their data ecosystems, effectively consolidating our data models for predictive analysis', 'Foster a deep understanding of relevant data domains, codebase, and systems', 'Demonstrate expertise in data engineering, data architecture, programming, and software engineering', 'Exercise discretion in choosing methods and techniques to achieve solutions', 'Operate independently, utilizing available resources to overcome challenges and meet deadlines by employing sound judgment and problem-solving abilities', 'Become proficient in internal development standards, progressively managing tasks and projects of increasing complexity from coding to code release', 'Collaborate with Data Science, Product Managers, and Software Engineers to develop robust ETL pipelines that empower the Product Support team to deliver compelling user experiences', 'Display empathy for customers to ensure that data processes and workflows meet their needs']","[""Bachelor's degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field"", 'At least 2 years of hands-on industry experience in data engineering', 'Proficiency in event backbone and job pool platforms (e.g., Kafka)', 'Over 2 years of experience with Typescript, Python (Django), and the development of complex ETL pipelines', 'Hands-on experience in SQL database design, data modeling, and data mining']",['Demonstrated passion for data and machine learning to drive positive outcomes'],None,[] 757,Data Engineer,"Amazon Web Services, Inc.","Palo Alto, CA","For more than 11 years, Amazon Web Services (AWS) has been the world's most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world--including the fastest-growing startups, largest enterprises, and leading government agencies--to power their infrastructure. Within the Sales Strategy, Operations, and Customer... Programs (SSOC) organization, the Worldwide Commercial Sales Operations (WWSO) team is responsible for supporting Leadership, Sales, and Operational teams in achieving organizational objectives and driving continuous improvements in field productivity. We drive effectiveness, predictability, and deliver a run the business cadence that allows for the field to serve customers in the way customers want to be served. The Worldwide Commercial Sales Operations organization is seeking an experienced Data Engineer to support the Sales Strategy, Operations, and Customer Programs organization's leaders to define, build, and implement new business intelligence solutions end-to-end for our global team. The ideal candidate earns trust through performance and relationship building, must possess strong analytical acumen, and be comfortable drawing metric-based conclusions by managing an extensive amount of data. They will provide the framework and analysis to assist the AWS WW Commercial Sales organization in delivering results. They will implement new reporting solutions, identify risks, and deliver against high operational standards. This is a hands-on position, the ideal candidate must be willing to roll up the sleeves in order to dive deep and pioneer new solutions. This position will work with the several supporting the extended Sales Strategy, Operations, and Customer Programs organization, such as Sales Operations, Sales Leadership, Finance, Business Development, Marketing, Professional Services, and the team. The individual must have the ability to earn trust and communicate effectively across multiple and non- business units in a global organization. LOCATION: Strong preference for this position to be in Palo Alto, CA USA but open to these additional locations: Seattle, WA USA, Denver, CO USA, San Francisco, CA USA, Austin, TX USA, New York, NY USA, Herndon, VA USA, Boston, MA USA, Atlanta, GA USA. Relocation assistance from within the United States is available. Key Responsibilities include but are not limited to: Design, develop and maintain at scale automated, user-friendly systems, reports, dashboards that will support our analytical and business needs Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL) Detect trends in AWS and 3rd party data to guide decision making and predict outcomes with business owners, tech and central teams to integrate machine-learning and automation into scaling our programs and processes Use analytical and statistical rigor to solve complex problems and drive business decisions with global business teams to define, solve, and present opportunities that impact the Worldwide Commercial Organization. Drive global standardization of delivery practices, businesses processes, and reporting. Work directly within the global sales data to orchestrate metrics, key performance indicators and decision criteria. Utilize tools including, Excel, SQL, and Tableau to create dashboards and insights from data. Collaborate effectively with internal to operationalize mechanisms and best practices Set-up the framework and effectively analyzing data and feedback for insights. Estimated Salary: $20 to $28 per hour based on qualifications",Amazon Web Services (AWS) has been the world's most comprehensive and broadly adopted cloud platform for over 11 years.,To power their infrastructure and drive continuous improvements in field productivity.,Not specified,"['Design, develop and maintain at scale automated, user-friendly systems, reports, dashboards', 'Detect trends in AWS and 3rd party data to guide decision making and predict outcomes', 'Work directly within the global sales data to orchestrate metrics, key performance indicators and decision criteria']","['Experience in data engineering', 'Ability to work hands-on and pioneer new solutions']","['Strong analytical acumen', 'Ability to earn trust and communicate effectively across multiple and non-business units in a global organization']",$20 to $28 per hour based on qualifications,['Relocation assistance from within the United States'] 759,"Data Engineer (TS/SCI or Secret), Palo Alto, CA",Rhombus Power Inc.,"Palo Alto, CA","Rhombus is purposefully transforming the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance. We are looking for people who are driven by a sense of purpose. In this role, you will serve as a Data Engineer to solve our customer’s uniquely complex problems. We... expect you to be a systems-level thinker and a real doer. You will excel in this role if you are hungry to make a difference and are intellectually bold. And we sure hope that you smile when you hear our clients say, “If we can dream it, Rhombus can do it.” Come join our cross-disciplinary and world-class team of technologists who are working hard every day to deliver game-changing solutions to transform national security. Clearance • Must be eligible for Secret clearance and for TS/SCI • Active TS/SCI or Secret clearance holders highly desired Location Palo Alto, CA Job Description Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. As a Data Engineer, you’llperform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. You’ll work cross functionally with other departments and utilize your skills at all stages of the analytics pipeline to create results that drive business values and customer success! You’ll be asked to travel to client sites where you’ll engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection. This role will require travel to client sites in Honolulu, HI; Omaha, NE and/or Colorado Springs, CO. Frequency will depend on business needs and may vary at times but can be upwards of twice per month. Last minute notice to travel to client sites may be given at times. Responsibilities: • Develop code using various programming and scripting languages to automate data ingestion and improve data management processes. • Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation. • Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management. • Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts. • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms. • Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment. • You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients. • Communicate project status and results to various levels of leadership. Qualifications: • A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project experience. • Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc. • Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.) • Experience building and maintaining ETL data pipelines • Experience with software development life cycle including testing, documenting, delivery and support • Working knowledge of AWS/cloud technologies • Experience using query optimization as well as data modeling techniques. • Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.) • The ability to obtain and maintain a US security clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance • Must be eligible for Secret clearance and for TS/SCI Personal Qualities: • Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work. • Must have strong problem-solving skills and demonstrated excellent oral and written communication skills. • We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems. • Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive. Benefits • Full medical, dental, vision coverage for employee and dependents • 401k matching program • PTO and Holidays • Bonus and other incentive programs About Rhombus Rhombus Power Inc. (Rhombus) is a NASA Research Park startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer","Rhombus is purposefully transforming the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.",Transforming national security enterprises with Artificial Intelligence,Not specified,"['Develop code using various programming and scripting languages to automate data ingestion and improve data management processes', 'Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation', 'Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management', 'Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts', 'Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment']","['A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project experience', 'Ability to obtain and maintain a US security clearance']","['Experience with 1 or more programming and scripting languages', 'Experience with 1 or more of the following relational, noSQL and/or file based storage', 'Experience building and maintaining ETL data pipelines', 'Experience with software development life cycle including testing, documenting, delivery and support', 'Working knowledge of AWS/cloud technologies', 'Experience using query optimization as well as data modeling techniques', 'Familiarity with machine learning frameworks']",Not specified,"['Full medical, dental, vision coverage for employee and dependents', '401k matching program', 'PTO and Holidays', 'Bonus and other incentive programs']" 761,Sr. Data Engineer,Rivian,"Palo Alto, CA","Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. The Sr. Data Visualization Engineer role works to support the planning and operational decisions of the Service organization. This role will work as the liaison between the Business Operations team and the Business Intelligence team to create compelling and informative visualizations to help management make decisions. This role will also require excellent communication skills, work cross functionally with multiple stakeholders and have experience with developing compelling narratives... with data. Responsibilities Work within the Service organization to understand needs, goals, and objectives Design and develop secure, scalable, high-performance and reliable (cost effective) big data and analytics solutions that enable tableau dashboards and reports for cross-functional teams and executives. Use Data & Analytics to answer business questions that lead to insights and actionable outcomes Deep data investigation to project the trends in business, using data visualization tools like Tableau, Excel, etc. to make recommendations to leadership. Define templates and process for the analysis of data models, data flows, and integration patterns for structural deficiencies/soundness to build robust and complete future state service operations planning models. Perform ad hoc data analysis to provide efficient analytical support for on-the-spot business inquiries and program management adjustments. Aid in requirements gathering and development prioritization where necessary Filter incoming data requests and help ensure orderly creation and management of reports and dashboards Perform research and analysis in support of operations Qualifications Business Administration, Finance, Data Science, or related quantitative major MBA Preferred Previous experience in Management consulting firm, start-up environment, Automotive OEM or equivalent experience preferred Excellent skills in Python, SQL, R, and Alteryx Strong background in data wrangling, data analysis, trend and root cause identification, statistical analysis, and data visualization Be able to create excellent Tableau visualizations and story-telling using data Strong leadership, planning, problem solving, and communication skills Strong understanding of business operations and how various organizations work with each other 5 years of strong data analysis experience in Finance, Supply Chain, Engineering, Sales, Marketing, or Manufacturing organizations 5 years of hands-on experience creating complex dashboards and data stories using Tableau. Expert level in Tableau development (Tableau certification is a plus) 5 years of hands-on IT experience in Alteryx, Data Warehouse, ETL & Reporting. Extensive experience of executing multiple data warehouse projects in variety of business domain 5 years of experience in understanding variety of complex business use cases and modelling the data in the data warehouse. Very strong understanding of core data warehouse concepts Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications",Rivian is on a mission to keep the world adventurous forever.,Protect the outdoors for future generations,Not specified,"['Work within the Service organization to understand needs, goals, and objectives', 'Design and develop secure, scalable, high-performance and reliable (cost effective) big data and analytics solutions', 'Use Data & Analytics to answer business questions that lead to insights and actionable outcomes', 'Deep data investigation to project the trends in business', 'Define templates and process for the analysis of data models, data flows, and integration patterns', 'Perform ad hoc data analysis to provide efficient analytical support for on-the-spot business inquiries and program management adjustments', 'Aid in requirements gathering and development prioritization where necessary', 'Filter incoming data requests and help ensure orderly creation and management of reports and dashboards', 'Perform research and analysis in support of operations']","['Business Administration, Finance, Data Science, or related quantitative major', '5 years of strong data analysis experience in Finance, Supply Chain, Engineering, Sales, Marketing, or Manufacturing organizations', '5 years of hands-on experience creating complex dashboards and data stories using Tableau', '5 years of hands-on IT experience in Alteryx, Data Warehouse, ETL & Reporting', '5 years of experience in understanding variety of complex business use cases and modelling the data in the data warehouse']","['MBA', 'Previous experience in Management consulting firm, start-up environment, Automotive OEM or equivalent experience']",$80K -- $100K,['Not specified'] 764,"Sr. Data Engineer, Automation and Analytics",Tesla,"Palo Alto, CA","The electrical component team in Supply Chain is looking for a highly skilled and experienced senior Data Engineer to support our Supply Chain Organization. You will plan effective data storage, security, sharing and publishing within the organization, including our Global Supply Managers as well as Design Engineer on a regular basis. You will have the responsibility to maintain large supply... chain datasets and formulate applicable data-driven solutions which can effectively utilized by the global supply management team. It is essential that you can think strategically, connecting the dots in the bigger picture, as well as being comfortable in the details of the deliverables. A candidate for this role needs to be a self-motivated for data analytics and process raw, unstructured data using batch and real time processing frameworks. Job posting details for Sr. Data Engineer, Automation and Analytics at Tesla in Palo Alto, California. Compensation / salary range: $80,000 - $258,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. ClimateTechList gathers 33,000+ job openings from over 1,809 climate tech companies and updates them daily",Tesla is a climate tech company,Not provided,Not provided,"['plan effective data storage, security, sharing, and publishing', 'maintain large supply chain datasets', 'formulate applicable data-driven solutions']","['self-motivated for data analytics', 'experience with batch and real-time processing frameworks']",[],"$80,000 - $258,000/annual salary","['cash and stock awards', 'benefits']" 765,Big Data Engineer,Cygnus Professionals Inc,"Palo Alto, CA","Company Description Headquartered in New Jersey (U.S), Cygnus Professionals Inc. is a next generation global information technology Solution and Consulting company powered by strong management and leadership team with over 30 person years of experience. Today, Cygnus has strong footprints in more than 4 countries with more than 25 satisfied customers. We strive to extend our presence across... industries and geographies with our industry-focused business excellence. Cygnus Professionals Inc. has been named by the US Pan Asian American Chamber of Commerce Education Foundation (USPAACC) as one of the ""Fast 100 Asian American Businesses"" - joining the country's fastest-growing Asian American-owned companies, based on percentage revenue growth over the immediate past two years. Job Description Greetings from Cygnus Professionals, Hope you're doing great ! I have a requirement for you Kindly go through it, If you feel comfortable and would like to apply for this role so kindly provide me your updated profile along with your contact details and rate part. Role: Big Data Engineer w/Spark Location: Palo Alto, CA Duration: Potential Contract to Hire Mode of Interview: Skype After Phone !! Need Green Card OR US Citizen OR EAD GC Candidates Only !! Position Description: Experience with Java, Spark and Hadoop A minimum of 2 years of experience working with distributed systems Knowledge in distributed system design, data pipelining, and implementation Knowledge in machine learning algorithms Knowledge and experience in building large scale applications using various software design patterns and OO design principles Experience with either distributed computing (Hadoop/Spark/Cloud) or parallel processing (CUDA/threads/MPI) Expertise in design pattern (UML diagrams) and data modeling of large scale analytic systems Experience in research, analysis, and the conversion of large amount of raw collected data and content into new sets of data that is structured and does not reduce data context in order to enable the Productization of new products Worked with data warehousing and distributed/parallel processing of large data sets using parallel computing system to map/reduce computation and Linux clusters (e.g. Hadoop/Cloud technologies, HDFS); cluster; Experienced in modern development methodology such as Agile, Scrum and SDLC Ability to work in a research oriented, fast pace, and highly technical environment Quick thinker and a fast learner, collaborative spirit, and excellent communication and interpersonal skills Additional Information • * U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. • * All your information will be kept confidential according to EEO guidelines","Headquartered in New Jersey (U.S), Cygnus Professionals Inc. is a next generation global information technology Solution and Consulting company powered by strong management and leadership team with over 30 person years of experience.",extend our presence across industries and geographies with our industry-focused business excellence.,not specified,['not specified'],"['Experience with Java, Spark and Hadoop', 'A minimum of 2 years of experience working with distributed systems', 'Knowledge in distributed system design, data pipelining, and implementation', 'Knowledge in machine learning algorithms', 'Knowledge and experience in building large scale applications using various software design patterns and OO design principles', 'Experience with either distributed computing (Hadoop/Spark/Cloud) or parallel processing (CUDA/threads/MPI)', 'Expertise in design pattern (UML diagrams) and data modeling of large scale analytic systems', 'Experience in research, analysis, and the conversion of large amount of raw collected data and content into new sets of data that is structured and does not reduce data context in order to enable the Productization of new products', 'Worked with data warehousing and distributed/parallel processing of large data sets using parallel computing system to map/reduce computation and Linux clusters (e.g. Hadoop/Cloud technologies, HDFS); cluster;', 'Experienced in modern development methodology such as Agile, Scrum and SDLC', 'Ability to work in a research oriented, fast pace, and highly technical environment', 'Quick thinker and a fast learner, collaborative spirit, and excellent communication and interpersonal skills']",['not specified'],not specified,['not specified'] 766,Data Engineer (ETL),AISERA,"Palo Alto, CA","Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce. Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies. The Team: We are a small but passionate team of 100 based in the Bay Area... Aisera's seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other. What You'll Do: Responsibilities: As a Senior Data Engineer, you will be part of the core platform engineering team and work with other team members, engineering management and product management to plan, develop and deliver on time various features and functionality for the platform. Work with teammates, leadership and product management to design and deliver the data platform and connector features as per roadmap. Deliver testable, modular, highly scalable and reusable code, test cases and documentation on time. Working in an agile development environment. What You'll Need: Bachelor's Degree in Computer Science or Computer Engineering or Electrical Engineering At least 3 years professional experience in similar positions in software development Strong Java skill Strong database skills Good experience in microservices Good experience in Elasticsearch Good experience in using one or more public cloud environments (AWS, Azure, Google Cloud, etc.) Be very keen on quality in any aspect Be responsible over projects quality we deliver Very good verbal and written communication skills (English) Benefits of Aisera Fun place to work Demanding job Great team Great opportunity Aisera Benefits Medical, dental, and vision benefits Holidays and flexible PTO Paid family leave 401(k) plan Stock Options Employment Assistance Program Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine Learning, Software DevelopmentEstimated Salary: $20 to $28 per hour based on qualifications","Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users.","Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.",,"['Work with teammates, leadership and product management to design and deliver the data platform and connector features as per roadmap', 'Deliver testable, modular, highly scalable and reusable code, test cases and documentation on time', 'Work in an agile development environment']","[""Bachelor's Degree in Computer Science or Computer Engineering or Electrical Engineering"", 'At least 3 years professional experience in similar positions in software development', 'Strong Java skill', 'Strong database skills', 'Good experience in microservices', 'Good experience in Elasticsearch', 'Good experience in using one or more public cloud environments (AWS, Azure, Google Cloud, etc.)', 'Very keen on quality in any aspect', 'Responsible over projects quality we deliver', 'Very good verbal and written communication skills (English)']",[],Salary Range: $80K -- $100K,"['Medical, dental, and vision benefits', 'Holidays and flexible PTO', 'Paid family leave', '401(k) plan', 'Stock Options', 'Employment Assistance Program']" 767,Data Engineer,Intapp,"Palo Alto, CA","We are seeking a talented and motivated Data Engineer with a background in Data Science to join our team. The ideal candidate will have a solid foundation in data engineering principles and practices, along with a passion for data analysis, machine learning, and problem-solving. What you will do... • Develop and implement data pipelines and ETL processes to ensure data quality, reliability, and availability for analysis. • Perform exploratory data analysis to gain insights into data patterns, trends, and relationships, using statistical methods. • Identify relevant features and variables for predictive modeling and analysis. • Data Engineering (ETL/ELT) Development • Data Pipeline development in Python or similar languages. • Knowledge of SCD, CDC, and core Data warehousing concepts. • Develop and implement machine learning models and algorithms to solve business problems and extract actionable insights from data. • Evaluate model performance, fine-tune parameters, and optimize algorithms to achieve desired outcomes. • Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand business requirements and translate them into data-driven solutions. What you will need: • Bachelor's degree in computer science, Data Science, Statistics, or a related field.  • Strong background, 3+ years, in data engineering, including experience with data collection, preprocessing, and ETL processes. • Desired 5+ years of proficiency in programming languages such as Python, SQL, and/or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, requests, etc..). • Knowledge of machine learning techniques and algorithms, with practical experience in model development, evaluation, and deployment. • Excellent problem-solving skills, critical thinking abilities, and attention to detail. • Effective communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to diverse audiences. What will be nice to have: • Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). • Knowledge of data visualization tools (e.g., Matplotlib, Tableau) and techniques. • Understanding of software development principles and practices, including version control, testing, and deployment. What you will gain at Intapp: Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer: • Competitive base salary plus variable compensation and equity • Generous paid parental leave, including adoptive leave • Traditional comprehensive benefits, plus: • Generous Paid Time Off • Tuition reimbursement plan • Family Formation benefit offered by Carrot • Wellness programs and benefits provided by Modern Health • Paid volunteer time off and donation matching for the causes you care about • Home office stipend • Opportunities for personal growth and professional development supported by a community of talented professionals • An open, collaborative environment where your background and contributions are valued • Experience at a growing public company where you can make an impact and achieve your goals • Open offices and kitchens stocked with beverages and snacks #LI-DB1 Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks if applicable to the position. Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers","Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.","Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork.",Not specified,"['Develop and implement data pipelines and ETL processes to ensure data quality, reliability, and availability for analysis', 'Perform exploratory data analysis to gain insights into data patterns, trends, and relationships, using statistical methods', 'Identify relevant features and variables for predictive modeling and analysis', 'Data Engineering (ETL/ELT) Development', 'Data Pipeline development in Python or similar languages', 'Develop and implement machine learning models and algorithms to solve business problems and extract actionable insights from data', 'Evaluate model performance, fine-tune parameters, and optimize algorithms to achieve desired outcomes', 'Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand business requirements and translate them into data-driven solutions']","[""Bachelor's degree in computer science, Data Science, Statistics, or a related field"", 'Strong background, 3+ years, in data engineering, including experience with data collection, preprocessing, and ETL processes', 'Desired 5+ years of proficiency in programming languages such as Python, SQL, and/or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, requests, etc..)', 'Knowledge of machine learning techniques and algorithms, with practical experience in model development, evaluation, and deployment']","['Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka)', 'Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud)', 'Knowledge of data visualization tools (e.g., Matplotlib, Tableau) and techniques', 'Understanding of software development principles and practices, including version control, testing, and deployment']",Not specified,"['Competitive base salary plus variable compensation and equity', 'Generous paid parental leave, including adoptive leave', 'Traditional comprehensive benefits', 'Generous Paid Time Off', 'Tuition reimbursement plan', 'Family Formation benefit offered by Carrot', 'Wellness programs and benefits provided by Modern Health', 'Paid volunteer time off and donation matching for the causes you care about', 'Home office stipend']" 823,"Business Intelligence Analyst at HP in Palo Alto, CA",HP,"Palo Alto, CA","Applies Advanced level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets... policies. Evaluates unique circumstances and makes recommendations. Qualifications: Bachelor's degree in Computer Science, Software Engineering, other technical degree, or equivalent practical experience. 3-5 years of relevant work experience. Knowledge & experience with building data infrastructure (designing, building data pipelines, implementing scalable monitoring) and implementing reporting solutions. Experience in programming such as SQL or Python. Visualization expertise in tools such as Tableau, Power BI, Dataiku etc. Conceptual, logical data modeling and data architecture knowledge. Key Responsibilities Link between data engineers who ingest data and the business units that depend on that data to make decisions. You will be part of a cross-functional team charged with ingesting telemetry data, organizing the data, and building views that enable decision-making. Collaborate with various business teams, understand their data needs and build plans to address those with intelligent data solutions in a timely and sustainable fashion. Deliver data solutions that tell a story and provide insights to the businesses, enabling them to make better decisions. You will collaborate internal analytical leaders to identify opportunities to improve data quality. You will work on pipelines, data models, and data visualizations with your team. #LI-POST About HP You're out to reimagine and reinvent what's possible--in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Come to HP and thrive! APPLY NOW Salary Range: $80K -- $100K Minimum Qualification Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications","HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.","HP's commitment to diversity, equity and inclusion - it's just who we are.",Not specified,"['Link between data engineers who ingest data and the business units that depend on that data to make decisions', 'Collaborate with various business teams, understand their data needs and build plans to address those with intelligent data solutions', 'Deliver data solutions that tell a story and provide insights to the businesses, enabling them to make better decisions']","[""Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience"", '3-5 years of relevant work experience']","['Experience with building data infrastructure', 'Knowledge of programming languages such as SQL or Python', 'Visualization expertise in tools such as Tableau, Power BI, Dataiku etc.', 'Conceptual, logical data modeling and data architecture knowledge']",$80K -- $100K,"['Competitive salary', 'Benefits package']" 824,Senior Technologist (Senior Business Intelligence Analyst),City of Palo Alto,"Palo Alto, CA","Local government is undergoing radical change and much of it is being powered by new technologies. The IT department for the City of Palo Alto is one of the game-changing agencies in the US leading the use of innovation to power the next generation of government services. We are looking for big thinkers and leaders to help create a model for local democracy. Are you that person? If so, we want... you to join our team as a Senior BI Analyst. Be part of something amazing. We'll be waiting for you. The Information Technology Department is seeking an experienced, high-level, high energy Senior Technologist- IT Under the general supervision of the IT Enterprise Systems Manager, is responsible for supporting the City's existing SAP BI Application and uses including, but not limited to, designing, planning, implementation, and support/administration. Distinguishing Characteristics: IS-Utility experience will be considered a plus.Looking for an experienced SAP BW/BI Developer that has demonstrated experience with SAP BW, SAP IS-Utility and related technologies in driving high priority customer initiatives, leveraging SAP BI to solve the biggest and most complex data challenges faced by the City of Palo Alto enterprise customers. The Senior BI Analyst is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for SAP BI. You will need to have experience in ABAP coding, business requirements gathering, data analysis, Data Load Monitoring, Process Chain Maintenance, data mapping, and dimensional data modeling and interfacing with APD to external Databases. Lead BW/BI projects in collaboration with Business, IT/Basis, IS functional/technical/security analysts / external BW consultants as assigned to the project. Design, develop, test and implement new BW/BI APD processes and port data out to external third party databases. Facilitate and gather reporting requirements for assigned projects and establish strong business relationships to identify, plan and scope future BW projects. Write functional design document and detailed technical document. Responsible for adherence to standards, policies, and development guidelines. Provide ongoing maintenance, assistance and support for BW/BI and provide ongoing business user training and support as needed. Work with IS functional and technical analysts to investigate and resolve data discrepancies. Off-hours availability for support, problem determination, and problem resolution of production systems is probable. Any additional responsibilities or tasks as assigned. For a complete list of job duties and responsibilities please click hereSufficient education, training and/or work experience to demonstrate possession of the following knowledge and skills, which would typically be acquired through: Bachelor's Degree in Information Technology or a related field and five years of progressively responsible, professional Information Technology experience; or, an equivalent combination of education and experience sufficient to successfully perform a particular subset ofthe essential duties of the job such as those listed above. Licensing Requirements: Depending on area of assignment, some positions may require: • Valid California Driver's License; • One or more certifications related to specific technical discipline. Bachelor of Science in Information Systems/MIS, computer science, business or related field or equivalent experience. Possess 8+ years of SAP Business Warehouse/Intelligence development experience. Expertise should include but not limited to: BW Solution Architecture, BW APD development, Process Chain Maintenance, Bex Report Enhancements, Extraction – ABAP development, Data sources, ABAP Routines development, Transformations, Transfer Rules, Update rules & DTP. • Experience in business requirements gathering, data analysis, data mapping, and dimensional data modeling. • In depth experience in SAP-BEx query development. Develop complex multi-provider Queries and RRIs. • General troubleshooting skills in a SAP-BW environment. • Excellent interpersonal skills including verbal and written communication, teamwork, and, issue resolution. Good consulting skills to gather information requirements, and participate in analysis and user interface design discussions. • Flexible and adaptable with the ability to work under pressure to meet deadlines. • Proven multitasking capabilities. • Excellent organization and follow through skills. Technical Skills (Required) • 5+ years experience with BW 3.x • 5+ years experience in SAP-BEx query development [Complex multi-provider Queries and RRIs] • 2+ years experience with SAP IS-Utility [Electric, Gas and Water] • 2+ years experience with BI 7.4 or higher • 2+ years of SAP BW upgrade/implementation experience • 3+ years experience with ABAP coding, debugging and code performance tuning • Practical experience in full life cycle APD deployment and Process Chain creation and maintenance as well as custom BW implementation. • ABAP coding and debugging skills, code performance tuning • Experience designing, developing and configuring within SAP BW (7.x and 3.x objects). Technical Skills (Desirable) • Knowledge of BW on HANA • BEX Broadcasting. • Project management skills The ideal candidate will have at least 8-10 yrs of experience in experienced SAP BW/BI Developer experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives. IS-Utility experience will be considered a plus",The City of Palo Alto is a local government organization in the US.,To create a model for local democracy using innovation and technology.,N/A,"['Designing, planning, implementation, and support/administration of SAP BI Application', 'Leading BW/BI projects in collaboration with Business, IT/Basis, IS functional/technical/security analysts / external BW consultants', 'Facilitating and gathering reporting requirements for assigned projects', 'Establishing strong business relationships to identify, plan and scope future BW projects', 'Writing functional design documents and detailed technical documents', 'Providing ongoing maintenance, assistance and support for BW/BI', 'Investigating and resolving data discrepancies with IS functional and technical analysts']","[""Bachelor's Degree in Information Technology or a related field"", '5+ years of SAP Business Warehouse/Intelligence development experience', 'Expertise in BW Solution Architecture, BW APD development, Process Chain Maintenance, Bex Report Enhancements, Extraction – ABAP development, Data sources, ABAP Routines development, Transformations, Transfer Rules & DTP', 'Experience in business requirements gathering, data analysis, data mapping, and dimensional data modeling', 'Excellent interpersonal skills including verbal and written communication, teamwork, and issue resolution']","['IS-Utility experience', 'Project management skills', 'Knowledge of BW on HANA', 'BEX Broadcasting']",N/A,"['Being part of a game-changing agency', 'Opportunity to work on high-priority customer initiatives', 'Challenging and complex data challenges']" 825,"Business Intelligence Engineer, Search Capacity","A9.com, Inc.","Palo Alto, CA","Job summaryThe Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day... As a Business Intelligence Engineer in the Search Capacity team, you will: Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning. Identify and track key performance metrics around efficiency and costs. Manage planning, ordering, and budgeting for hardware and other computational resources. Develop and improve tools for automating the foregoing responsibilities wherever possible. Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs. . Estimated Salary: $20 to $28 per hour based on qualifications","Amazon Search team creates powerful, customer-focused search solutions and technologies.",,,"['Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning.', 'Identify and track key performance metrics around efficiency and costs.', 'Manage planning, ordering, and budgeting for hardware and other computational resources.', 'Develop and improve tools for automating the foregoing responsibilities wherever possible.', 'Analyze resource utilization and performance test data to identify variables impacting performance and scalability.', 'Develop models for required hardware resources to meet current and future SLAs.']",[],[],Estimated Salary: $20 to $28 per hour based on qualifications,[] 826,"Internship, Business Intelligence Analyst, North America Sales ...",Tesla,"Palo Alto, CA","Job posting details for Internship, Business Intelligence Analyst, North America Sales & Service Infrastructure Development (Summer 2024) at Tesla in Palo Alto, California. . ClimateTechList gathers 33,000+ job openings from over 1,810 climate tech companies and updates them daily.",Tesla is a pioneering electric vehicle and clean energy company.,Accelerating the world's transition to sustainable energy,Hybrid,"['Analyze sales data to identify trends and opportunities for growth', 'Develop and maintain databases and data systems', 'Collaborate with cross-functional teams to drive business decisions']","['Currently pursuing a degree in Business, Computer Science, or related field', 'Strong analytical and problem-solving skills', 'Experience with data visualization tools and programming languages']","['Experience with data warehousing and ETL processes', 'Knowledge of machine learning algorithms and statistical modeling']",Competitive hourly rate,"['Opportunity to work with a pioneering company in the electric vehicle and clean energy industry', 'Collaborative and dynamic work environment', 'Professional development and growth opportunities']" 828,Business Intelligence Manager,Ford Motor,"Palo Alto, CA","The Business Intelligence Manager role will manage projects for our team while leading user analytics and business metrics development, supporting the organization’s ambitious growth strategy. Design customer and market research and benchmarking analysis. Identify and recommend value metrics to measure our products. Work closely with internal stakeholders to identify business models that support... our products. Bring customer and market data to life through rich storytelling. Build analytic capabilities to grow our organization’s knowledge. Ford Motor is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics",Ford Motor is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.,,,"['Manage projects for our team', 'Lead user analytics and business metrics development', 'Design customer and market research and benchmarking analysis', 'Identify and recommend value metrics to measure our products', 'Work closely with internal stakeholders to identify business models that support our products', 'Bring customer and market data to life through rich storytelling', ""Build analytic capabilities to grow our organization's knowledge""]",[],[],,[] 830,Business Intelligence Engineer,Amazon.com Services LLC,"Palo Alto, CA","In the Alexa Shopping team we are building experiences to allow customers to instantly order whatever they need, by simply interacting with their smart devices such as Amazon Echo, Fire TV, and Echo Show. Our services allow you to shop, anywhere, easily without interrupting what you're doing - to go from I want to It's on the way in a matter of seconds. As a Business Intelligence Engineer, you... will be responsible for understanding and mining the large amount of data, build metrics and drive customer adoption. You will play a key role in our team - the team will look to you for advice on analytical and business issues facing them. You will have a department-wide view of the analytical solutions that you build, and you will consistently think in terms of automating or expanding the results company-wide. You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets, while partnering with customers to answer key business questions. You are analytical and creative, and you don't quit. You will also have the opportunity to display your skills in the following areas: Interface with cross functional teams, gathering requirements and delivering complete BI solutions. Lead customer utilization research projects to better understand how our customers are using our systems. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a major programming and/or scripting language to process data for modeling Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Estimated Salary: $20 to $28 per hour based on qualifications",Alexa Shopping team at Amazon,Instantly order whatever customers need using smart devices,Yes,"['Understand and mine large amounts of data', 'Build metrics and drive customer adoption', 'Partner with customers to answer key business questions']","['Experience with BI tools', 'Analytical and creative skills']",['Not specified'],Estimated $20 to $28 per hour based on qualifications,['Not specified'] 831,Business Intelligence Engineer,Amazon.com Services LLC,"Palo Alto, CA","Job summaryAre you passionate about delighting hundreds of millions of customers and building the best search experience to help customers make well-informed purchase decisions on Amazon? The Search and Discovery experience on Amazon is central to every customer's shopping mission. The scale and impact of Amazon Search is enormous, and we are looking for a Business Intelligence Engineer to drive... innovative insights for searches worldwide. In the Search Organization where we launch new products and innovation on a daily basis. Our team leverages sophisticated machine learning, data mining, and big data technologies to help customers discover the right products. We run usability studies and obsessively read customer feedback to improve our search experience. We partner with Amazon's category teams, from instant video, Kindle books, and Echo, to apparel, electronics, and groceries. As a Business Intelligence Engineer you will have the opportunity to analyze billions of customer feedback and behavioral data to derive actionable insights. You will empower data driven decision making through implementing principles of data mining, data modeling and analytical skills to define and measure metrics for evaluating health of the business. You will closely work with ML & data scientists to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders. This role requires a strong ability to both Dive Deep and Invent and Simplify: you will leverage your deep technical expertise, strong problem-solving skills and excellent leadership skills to come up with new ways to get things done. You must have strong business acumen, and both written and verbal communication skills so you can influence decisions at the leadership level. We expect you to collaborate with our central data engineering team, but sit with our product managers, engineering and science leaders as a crucial part of our direct team. Key job responsibilitiesThe primary responsibilities of this role include: Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs. Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging MySQL, Redshift, Oracle, and Quicksight skillsets Dive deep to understand frameworks utilized for storing data at Amazon and different tools and solutions used to gain access to it. Use data mining , data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions. Work closely with our Search Research team to determine how to connect qualitative and quantitative research findings with tests for experiences. . Estimated Salary: $20 to $28 per hour based on qualifications",Amazon,Delight hundreds of millions of customers and build the best search experience,Not specified,"['Analyze billions of customer feedback and behavioral data', 'Implement principles of data mining, data modeling and analytical skills', 'Work closely with ML & data scientists to extract, integrate and work on critical data', 'Develop and maintain customer segmentation and predictive models', 'Design and drive experiments to form actionable recommendations', 'Present to business leaders in both ad-hoc forums and routine business reviews']","['Strong business acumen', 'Written and verbal communication skills']","['Strong technical expertise', 'Strong problem-solving skills', 'Excellent leadership skills']",Hourly,['Competitive salary'] 832,"Business Intelligence Engineer, EC2 Capacity Intelligence & Enablement","Amazon Dev Center U.S., Inc.","Palo Alto, CA","Job summaryLocation: Sunnyvale, CA Palo Alto, CA Cupertino, CA San Francisco, CA EC2 Capacity Intelligence & Enablement team is looking for a customer-obsessed Business Intelligence Engineer to join the team. AWS has a culture of data-driven decision making, and requires business intelligence that is timely, accurate and actionable... This role will partner closely with the business teams to understand the data-needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data-needs when participating in discussions about new products or features. You should be highly collaborative and organized. You should be capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one-another. Key job responsibilities Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. Translate basic business problem statements into analysis requirements. Use analytical and statistical rigor to answer business questions and drive business decisions. Find and create ways to measure the customer experience to drive business outcomes. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready. Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation. Troubleshoot operational data-quality issues. Review and audit existing ETL jobs and queries. Recommending improvements to back-end data sources for increased accuracy and simplicity. . Estimated Salary: $20 to $28 per hour based on qualifications",Amazon Web Services (AWS),Culture of data-driven decision making,Not specified,"['Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc.', 'Translating basic business problem statements into analysis requirements', 'Using analytical and statistical rigor to answer business questions and drive business decisions', 'Finding and creating ways to measure the customer experience to drive business outcomes', 'Developing queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting', 'Writing queries and output efficiently', 'Troubleshooting operational data-quality issues', 'Reviewing and auditing existing ETL jobs and queries', 'Recommending improvements to back-end data sources for increased accuracy and simplicity']","['Highly collaborative and organized', 'Capable of prioritizing multiple deliverables and effectively communicating progress and blockers', 'Comfortable working across multiple data-sources']",['Not specified'],$20 to $28 per hour based on qualifications,['Not specified'] 833,Business Intelligence Engineer,"Amazon.com Services, Inc.","Palo Alto, CA","Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions--including sponsored, display, video, and custom ads--leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service... managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are seeking an exceptional Business Intelligence Engineer to join the Advertising Forecasting Science team at Palo Alto, California. You will have extremely high visibility via presenting regular business metrics to leadership on a regular basis, and work closely with a group of talented scientists and engineers. You will need to dive deep into distributed data at the Petabyte level and provide insights to guide the development of Machine Learning problems in time series and revenue forecasts, auction prediction, and bid optimizations, to support the growth of Amazon's advertising business. Our ideal candidate will have strong analytical skills, business acumen and judgement, intellectual curiosity, technical skills, and excel at both written and verbal communications. S/he will be a self-motivated individual who is comfortable with ambiguity and be able to think critically about a science product from business standpoint. The primary responsibilities of this role include: Design, develop, and maintain scalable, automated metrics reports and dashboards to support our analytical and business needs Provide insights on data analytics to influence model development roadmap Work closely with stakeholders and leadership to define and present the team's business operational metrics Work closely with scientists to define and present the team's model-related metrics Recognize and adopt best practices in reporting and analytics - automation, data integrity, validation, and documentation. Estimated Salary: $20 to $28 per hour based on qualifications","Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs.","Find, attract, and engage intended audiences throughout their daily journeys.",Not specified,"['Design, develop, and maintain scalable, automated metrics reports and dashboards', 'Provide insights on data analytics to influence model development roadmap', ""Work closely with stakeholders and leadership to define and present the team's business operational metrics"", ""Work closely with scientists to define and present the team's model-related metrics"", 'Recognize and adopt best practices in reporting and analytics']","['Strong analytical skills', 'Business acumen and judgement', 'Intellectual curiosity', 'Technical skills', 'Excellent written and verbal communications']",['Not specified'],$20 to $28 per hour,['Not specified'] 843,Business Intelligence Analyst,BayOne,"Mountain View, CA","Gather and analyze data, reason logically, draw valid conclusions, tell a story, and suggest appropriate recommendations to assist in making data driven decisions. Utilize SQL for querying and maintaining data... Tools: Python, PostgresSQL with PostGIS extension, Hadoop","Overview of the company, industry, products, services, and notable achievements","Company mission, vision, values, and culture, including commitments to diversity, inclusion, social responsibility, and work-life balance","Remote work options for the role (full, hybrid, none)","['List of responsibilities, including tasks, duties, and expectations for the role']",['Essential educational qualifications and professional experience required for the role.'],['Any additional qualifications that a candidate may possess to stand out or excel in the role.'],Salary range or hourly pay range for the role,"['List of benefits and perks offered for the role, such as insurance, retirement plans, and paid time off.']" 844,"Lead Business Intelligence Analyst, Play Partnerships at Google in...",Google,"Mountain View, CA","Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience as a business intelligence analyst or similar analytical role (e.g., mobile game analyst, business analyst for an internet/e-commerce services, marketing analytics, etc.). Experience working with data visualization tools (e.g., Tableau, etc.) and database extraction/manipulation (SQL) to deliver... results/insights. Preferred Qualifications: Master's degree in Engineering, Business, or a quantitative field. Experience developing new models, methods, analysis, and approaches. Experience identifying opportunities for business/product improvement and defining/measuring the success of initiatives. About the job In this role, you will be part of the Google Play Partnerships team, focused on helping Google partners have successful businesses using the Android platform and Google Play. You will be an analyst within the Strategy and Operations team of the Google Play Partnerships organization. Our mission is connecting the third-party app and game developers with the right opportunities at the right time. We provide business insights to stakeholders on the Google Play Partnerships team to enable them to run the business. We partner with Operations and Developer Marketing teams to enable scaled improvements for third-party apps and games. We also work with the Product Managers to improve Google Play products to fit the needs of developers. Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users. Responsibilities Manage an extended workforce team responsible for building and maintaining business intelligence infrastructure for the Google Play Partnerships team. Contribute to project scoping, manage project priorities, and allocate resources within the project and informing/escalating appropriately when external factors impact execution. Manage changes and launched of data products, navigating testing, approvals, access, roll-out, training, and/or user feedback. Own relationships with Engineering/Technical Analyst teams. Ensure the alignment of activities and deliverables with other related projects/teams. Contribute to the development of the Google Play Partnerships team's tools, skills, culture, and impact. Salary Range: $100K -- $150K Minimum Qualification Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications","Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web.",Enable third-party app and game developers to have successful businesses using the Android platform and Google Play.,Not specified,"['Manage an extended workforce team responsible for building and maintaining business intelligence infrastructure for the Google Play Partnerships team', 'Contribute to project scoping, manage project priorities, and allocate resources within the project and informing/escalating appropriately when external factors impact execution', 'Manage changes and launched of data products, navigating testing, approvals, access, roll-out, training, and/or user feedback', 'Own relationships with Engineering/Technical Analyst teams', 'Ensure the alignment of activities and deliverables with other related projects/teams', ""Contribute to the development of the Google Play Partnerships team's tools, skills, culture, and impact""]","[""Bachelor's degree or equivalent practical experience"", '8 years of experience as a business intelligence analyst or similar analytical role']","[""Master's degree in Engineering, Business, or a quantitative field"", 'Experience developing new models, methods, analysis, and approaches', 'Experience identifying opportunities for business/product improvement and defining/measuring the success of initiatives']",$100K -- $150K,['Not specified'] 845,Business Intelligence Analyst II,Akorbi,"Mountain View, CA","Role Title: Data Analyst Duration: 6 months... Work Location: (select one) Hybrid / Fully Onsite / Fully Remote: In office 3x days a week: Hybrid Work Schedule: Normal PST Project Overview: • Team is overhauling our team structure leveraging an internal system called Team . • Access is tied to team nodes and as a result its important we are able to transition the access assets to the new nodes with no disruption to access. • We also need to create ""how to"" documents and process flows for Googlers to use as they change the owners of the various types of assets. • Our team serves as the triage point for any and all questions as it relates to this transition. Overall Responsibilities: • Serving as a technical SME for Team Graph for access management and structural changes • Build out g3 documentation (website) • Collecting and analyzing team graph data sheets to ensure seamless transition of assets from one team node to another • Preparing bulk upload sheets for Team Graph changes (ad hoc and scheduled) • Building out Search Platforms Team Graph G3 doc site with all relevant FAQs, technical documents and links • Developing process flow documentation and 1-pager docs providing guidance on Team Graph as it pertains to Search Platforms • Coordinate with TPgMs on any AIs as it relates to their respective orgs for Team Graph adjustments • Roll will require two weeks of training on internal Team Graph tool Top 3 Daily Responsibilities: • Serving as a technical SME for Team Graph for access management and structural changes • Develop, monitor and update g3 documentation as needed • Review all requested changes and provide daily summaries on requests to leadership team for decision • Make changes to Team Graph structure as needed Mandatory Skills/Qualifications: • Education: BA in Engineering or CS • Specific Tools or Applications experience: Google Suite, SQL, Web Dev (HTML, Python, etc) • Skills: Ability to develop clean and articulate google slide decks while also having technical ability to analyze large data sheets and draw insightful conclusions. • Years of Experience: 5+ years professional experience Non-Essential Skills/Qualifications: • Strong communication and presentation skills Skill/Experience/Education Mandatory-- Desired",No information provided,No information provided,Hybrid,"['Serving as a technical SME for Team Graph for access management and structural changes', 'Build out g3 documentation (website)', 'Collecting and analyzing team graph data sheets to ensure seamless transition of assets from one team node to another', 'Preparing bulk upload sheets for Team Graph changes (ad hoc and scheduled)', 'Building out Search Platforms Team Graph G3 doc site with all relevant FAQs, technical documents and links', 'Developing process flow documentation and 1-pager docs providing guidance on Team Graph as it pertains to Search Platforms', 'Coordinate with TPgMs on any AIs as it relates to their respective orgs for Team Graph adjustments']","['BA in Engineering or CS', '5+ years professional experience', 'Google Suite, SQL, Web Dev (HTML, Python, etc)']",['Strong communication and presentation skills'],No information provided,[] 848,Experienced People Analyst - HR Business Intelligence - Mountain View,TikTok,"Mountain View, CA","Responsibilities About TikTok... TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok. About the Team Human Resources Business Intelligence (HRBI) provides people analytics, aka HR data analytics and consulting, as a service to HR Business Partner teams. Our team works with HRBP on projects ranging the full employee lifecycle, from workforce planning, hiring, performance management, engagement, leadership, to attrition. By partnering with TikTok multiple functions, HRBI provides accurate and timely analysis and insights to enable data-driven management decisions. Responsibilities • Understand the business deeply, through data analysis, research, interviews and other methods to proactively identify and predict strategic issues and come up with feasible recommendations to the stakeholders; • Cultivate strong relationships with Human Resources Business Partners and other stakeholders that enable the successful delivery of reports, dashboards and analytics; • Establish and iterate our people analytics approach to business problems via advanced analysis and understanding the data infrastructure at TikTok; • As a promoter of HR data delivery applications, cooperate with related businesses and functions to continuously iterate people analytics product offerings; • Work effectively in a complex, global, fast-paced matrixed environment, filled with tight deliverable timeframes and multiple stakeholders. Qualifications • Bachelor's degree in management, statistics, human resource management, economics, organizational behavior, psychology, industrial psychology, organizational psychology, financial management, accounting, or a related field is preferred; • 5 years of HR data related experience. Prior experience in people analytics, business analytics, industry research or consulting firm background is preferred; • Interest in solving management and strategic problems with numbers. Have analytical mindset and framework thinking, can accurately define problems, propose hypotheses and provide solutions; • Demonstrated experience in partnering with a variety of different HR and business stakeholders, excellent communication skills and ability to influence others. Good at storytelling; • Using SQL, Tableau, R, Python or other analysis tools will be a plus. Looking forward to you with an interest in producing complex dashboards for HR that deliver business impact. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at hrbp-hr-accommodation@tiktok.com Job Information The base salary range for this position in the selected city is $124800 - $228000 annually. ​ Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. ​ At ByteDance/TikTok our benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support ByteDancers to give their best in both work and life. We offer the following benefits to eligible employees: ​ We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. ​ Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off(PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. ​ We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice",TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.,"Humility, intelligence, compassion, and creativity. We create to inspire - for you, for us, and for more than 1 billion users on our platform.",Not mentioned,"['Understand the business deeply, through data analysis, research, interviews and other methods to proactively identify and predict strategic issues and come up with feasible recommendations to the stakeholders', 'Cultivate strong relationships with Human Resources Business Partners and other stakeholders that enable the successful delivery of reports, dashboards and analytics', 'Establish and iterate our people analytics approach to business problems via advanced analysis and understanding the data infrastructure at TikTok', 'As a promoter of HR data delivery applications, cooperate with related businesses and functions to continuously iterate people analytics product offerings', 'Work effectively in a complex, global, fast-paced matrixed environment, filled with tight deliverable timeframes and multiple stakeholders']","[""Bachelor's degree in management, statistics, human resource management, economics, organizational behavior, psychology, industrial psychology, financial management, accounting, or a related field"", '5 years of HR data related experience']","['Prior experience in people analytics, business analytics, industry research or consulting firm background', 'Using SQL, Tableau, R, Python or other analysis tools']",$124800 - $228000 annually,"['100% premium coverage for employee medical insurance', 'Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans', 'Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care', '401K company match', 'gym and cellphone service reimbursements']" 851,BI Reporting Analyst IV,"Cybertec, Inc","Mountain View, CA","USC/GC Intuit... 60-65/hr. C2C Position : BI Reporting Analyst IV Location : Mountain View, CA(onsite) Duration : 6+ Months (With possibility of extension) Duties Job Duties: Performs business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, data mining. Determines best practices and develops actionable insights and recommendations for the current business operations. Works directly with the internal or external client to identify analytical requirements. May help to produce ad hoc data and reports. May assist in implementing or developing systems to capture business operation information. May occasionally guide less experienced business data analysts. Required Skills • Qlik • SQL • Python or R • AWS Redshift • Athena • MS PowerPoint • Google Presentation Analytical mindset • Ability to dig deeper into the data to generate actionable insights Skills Matrix • 4-6 yrs of related experience • Tableau, Qlik (2+ years) • SQL- extensive knowledge (4+yrs) • Python or R Education Bachelors in related field required",Intuit...,,Onsite,"['Performs business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, data mining.', 'Determines best practices and develops actionable insights and recommendations for the current business operations.', 'Works directly with the internal or external client to identify analytical requirements.', 'May help to produce ad hoc data and reports.', 'May assist in implementing or developing systems to capture business operation information.', 'May occasionally guide less experienced business data analysts.']","['Qlik', 'SQL', 'Python or R', 'AWS Redshift', 'Athena', 'MS PowerPoint', 'Google Presentation', 'Analytical mindset', 'Ability to dig deeper into the data to generate actionable insights', '4-6 yrs of related experience', 'Tableau, Qlik (2+ years)', 'SQL- extensive knowledge (4+yrs)', 'Python or R', 'Bachelors in related field']",[],$60-65/hr. C2C,[] 852,"Business Intelligence/Data Analyst at Sandy Spring Bancorp, Inc...","Sandy Spring Bancorp, Inc.","Mountain View, CA","Sandy Spring Bank is currently recruiting for a Business Intelligence/Data Analyst in the Information Technology Department. If you are the chosen candidate, you will be responsible for provides strategic, analytical, and technical support for business intelligence activities. The analyst leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. The analyst is also heavily involved with the distribution and successful delivery of all BI reports. Provide technical expertise and support for the company's enterprise applications by learning and understanding the underlying data structures and how they intersect. To meet the needs for this position, you will be required to use SQL scripts and other tools to perform data integration that ingest, transform and provision data across various sources in an organized and unified view, data validation and other import / export functions both within and between various... systems and data sets. Manages data analysis and usage requirements and focuses on data and integration-intensive initiatives. Primary responsibilities include working with understanding data analysis and integration requirements and guiding solution design and architecture to meet these needs, in addition to core business analyst responsibilities. Responsible for development, summarizing and presenting business information to the bank's business lines from various reporting environments such as our SQL server data warehouse, AWS S3 and Redshift data stores, and 3rd party environments. With general and specific guidance, conduct BI data analysis and utilize data to identify process gaps and help implement master data management processes. Areas of focus: Partner with stakeholders, process specialists, and users to elicit, analyze and document business requirements for data access/use, insights/metrics, and business intelligence reports Work with business to understand needs and develop solutions. Guide solution design to meet data and integration requirements. Identify new opportunities to leverage data and to integrate data to enhance business value Translate business requirements into documented technical requirements. Create and maintain requirements and design documentation. Assist in the design and model for application data structures, storage and integration in accordance with enterprise-wide architecture standards across legacy, web, cloud and purchased package environments Develop stored procedures, views, custom tables, and defined business rules for reporting and analytic solutions. Develop a combination of simple to complex SQL queries to fulfill stakeholder's requests .Convert data to make it analysis-ready Integrate data sources from multiple systems to provide seamless reporting. Understand database relationships and interconnections among data sources. Maintain and enhance data integrity of all information connection through the data stores. Enhance data collection procedures to include information that is relevant for building analytic systems. Manage, transform, and verify the integrity of data used for analysis Troubleshoot operational data-quality issues Learn and document the processes, systems, tables, and business rules for our systems Design and develop reports, visualizations, and custom extracts using business intelligence tools including, but not limited to SQL Server Management Studio, SQL Server Reporting Services, PowerBI, Tableau, SAP Business Objects and Python Provide ongoing technical support and refinement for existing reports, dashboards, or other tools Support end to end testing of integration and BI reports. Assist with supporting existing and developing new reporting & analytics solutions Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation. Required Skills Bachelor's Degree required in either Computer Science Information Technology, Business Information Systems, Mathematics/Analytics, Engineering or relevant experience. 3 years of experience in business intelligence/data analyst role involving data store development, programming, reporting, analytics and/or architecture. Knowledge of data analysis and usage requirements Basic understanding of data modeling in development of new source data models to align with data visualization and analytics use cases Working knowledge of statistical analysis for hypothesis testing and prediction required Experience with managing data stores and data ingestion workflow MS Office (Excel, Access, etc) power user with excellent quantitative and data skills Working knowledge of business intelligence tools such as (PowerBI, Tableau, SAP Business Objects) Working knowledge of ETL (Extract-Transform-Load) concepts for acquiring, cleansing, and combining diverse and disparate data sets preferred Working knowledge of SQL to query large and complex data sets Experience with one or more programming languages such as Python Demonstrated ability to define problems, collect data, establish facts and draw valid conclusions. Ability to develop systematic testing plans for problem resolution. Ability to communicate technical concepts in plain language Analytical and problem-solving skills and attention to detail Ability and eagerness to learn new technical information quickly Self-starting personality: Ability to prioritize and manage multiple responsibilities simultaneously; ability to work independently and make decisions. Proactively takes steps to learn and build on their relevant knowledge base Highly effective organizational skills. Experience and/or knowledge of banking industry preferred Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications",Sandy Spring Bank is a financial institution,"Provides strategic, analytical, and technical support for business intelligence activities",Unknown,"['Provides strategic, analytical, and technical support for business intelligence activities', 'Develops and summarizes business information to present to stakeholders', 'Manages data analysis and usage requirements']","[""Bachelor's Degree in Computer Science, Information Technology, Business Information Systems, Mathematics/Analytics, Engineering or relevant experience"", '3 years of experience in business intelligence/data analyst role involving data store development, programming, reporting, analytics and/or architecture']","['Experience with managing data stores and data ingestion workflow', 'Working knowledge of statistical analysis for hypothesis testing and prediction', 'Experience with one or more programming languages such as Python']",$80K -- $100K,"['Salary range from $80K to $100K', 'Benefits package']" 853,BI Reporting Analyst,Russell Tobin,"Mountain View, CA","Job Title: BI Reporting Analyst Location: Mountain View, CA/San Diego CA... Duration: 6+ months potential to extend Pay range $65/hr to $75hr W2 (DOE) Duties: Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. Determines best practices and develops actionable insights and recommendations for the current business operations. Works directly with the internal or external client to identify analytical requirements. May help to produce ad hoc data and reports. May assist in implementing or developing systems to capture business operation information. May occasionally guide less experienced business data analysts. Skills: Analytical background - Advanced spreadsheets (Google Sheets ideally) knowledge - Intermediate SQL - Tableau or other BI knowledge Skill Set: Advanced spreadsheets (Google Sheets ideally) SQL Analytical background Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Company DescriptionRussell Tobin is an equal-opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status",Russell Tobin is an equal-opportunity employer and values diversity in the workplace.,None,None,"['Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining.', 'Determines best practices and develops actionable insights and recommendations for the current business operations.', 'Works directly with the internal or external client to identify analytical requirements.', 'May help to produce ad hoc data and reports.', 'May assist in implementing or developing systems to capture business operation information.', 'May occasionally guide less experienced business data analysts.']",['Analytical background'],"['Advanced spreadsheets (Google Sheets ideally)', 'Intermediate SQL', 'Tableau or other BI knowledge']",$65/hr to $75hr W2 (DOE),"['Comprehensive healthcare coverage (medical, dental, and vision plans)', 'Supplemental coverage (accident insurance, critical illness insurance and hospital indemnity)', '401(k)-retirement savings', 'Life & disability insurance', 'Employee assistance program', 'Legal support', 'Auto, home insurance', 'Pet insurance', 'Employee discounts with preferred vendors']" 902,Data Engineer - USDS,TikTok,"Mountain View, CA","Responsibilities About TikTok U.S. Data Security... TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. As an Data Engineer, you will have significant responsibility and influence in shaping the Data Cycling Center's strategic direction. This role is inherently multi-functional, and the ideal candidate will work across disciplines. We are looking for someone with a love for data and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities - Work with business stakeholders, engineering, product and SRE teams to understand business requirements and convert that into technical requirements, including developing prototypes to demonstrate the feasibility of data and analytics solutions. - Extract data from various sources such as APIs, HIVE tables and other structured and unstructured data sources to process and store large volumes of data ensuring data accuracy, consistency, and security. - Design, build, and maintain data pipelines utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources to ensure data is easily accessible and can be used effectively by other members of the organization. - Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency. - Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis. - Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts - Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way - Ability to analyze and visualize data to provide business stakeholders with impactful, actionable insights Qualifications Minimum Qualifications: - Bachelors degree in Statistics, Economics, Computer Science or another quantitative field - 5+ years of experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data analysis and dashboard development. - 2+ years experience building dashboards in Tableau, Power BI or any similar visualization tool. - Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka - Proficiency in data modeling, data design, SQL, and NoSQL databases Preferred Qualifications: - Experience in a consumer web or mobile company - Strong background in algorithms and data structures - Experience working with PII and GDPR data - Ability to communicate effectively, both written and verbal, with technical and non-technical partners - Ability to deliver consistent high quality results while working in a fast environment - Passionate, curious, and seeking to tackle every day problems with innovation TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/ktJP6. This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. Job Information: 【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $145000 - $355000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice",TikTok is the leading destination for short-form mobile video.,To inspire creativity and bring joy.,"Hybrid work schedule, 3 days a week in the office","['Work with business stakeholders, engineering, product and SRE teams to understand business requirements', 'Extract data from various sources', 'Design, build, and maintain data pipelines', 'Implement and monitor quality control measures', 'Create and maintain technical documentation', 'Optimize pipelines, dashboards, frameworks, and systems', 'Collaborate with engineers, product managers, and data scientists', 'Analyze and visualize data to provide business stakeholders with impactful, actionable insights']","['Bachelors degree in Statistics, Economics, Computer Science or another quantitative field', '5+ years of experience working with data analytics and data engineering', '2+ years experience building dashboards in Tableau, Power BI or any similar visualization tool', 'Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka', 'Proficiency in data modeling, data design, SQL, and NoSQL databases']","['Experience in a consumer web or mobile company', 'Strong background in algorithms and data structures', 'Experience working with PII and GDPR data']",Base salary range: $145000 - $355000 annually,"['100% premium coverage for employee medical insurance', 'Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care', 'Gym and cellphone service reimbursements', '401K company match', 'Mental and emotional health benefits through EAP and Lyra']" 903,Data Engineer,Databricks,"Mountain View, CA","GAQ223R68 Location: San Francisco, CA or Mountain View, CA... At Databricks Information Technology, we are a product led organization transforming the way data is sourced, designed and used to help us scale seamlessly in face of incredible growth. You will influence decision-making for business teams through data, analytics, and business intelligence. You will guide the business in identifying data needs and delivering mechanisms for acquiring and reporting such information and addressing the actual needs. You will gather and maintain best practices that can be adopted across the business. You will be considered the go-to expert for the business for data analysis, reporting, data warehousing, and business intelligence. You will also be responsible for the daily operations inclusive of troubleshooting and job monitoring. You will be a part of the growing IT Data team reporting to the Sr. Director, Data Analytics & Integration. The impact you will have: • Design/Strategy: You will design and support the business's database and table schemas for new and existing data sources for the data warehouse. Creates and supports the ETL in order to facilitate the accommodation of data into the warehouse. In this capacity, the Data Engineer designs and develops systems for the maintenance of the business's data warehouse, ETL processes, and business intelligence. • Collaboration: You will be collaborative - working closely with analysts, data scientists, and other data consumers within the business in an attempt to gather and deliver high quality data for business-cases. The Data Engineer also works closely with other disciplines/departments and teams across the business in coming up with simple, functional, and elegant solutions that balance data needs across the business • Analytics: You will play an analytical role in quickly and thoroughly analyzing business requirements and subsequently translating the emanating results into good technical data designs. In this capacity, the Data Engineer establishes the documentation of the data solutions, develops, and maintains technical specification documentation for all reports and processes. What we look for: • 2+ years of related experience with a Bachelor's or Master's degree in Computer Science, Statistics, Information Systems or another quantitative field. • Experience building and optimizing 'big data' data pipelines, architectures and data sets. • Knowledge of data modeling and design of schemas for read and write performance. • Advanced working knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases. • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. • Build processes supporting data transformation, data structures, metadata, dependency and workload management. • Knowledge of message queuing, stream processing, API based extraction and highly scalable 'big data' data stores. • Experience supporting and working with cross-functional teams • Experience with Python and SQL • Experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday etc. • Knowledge of Databricks Platform • Knowledge of AI/ML/Data Science • Knowledge of BI Tools like Tableau, Looker etc Benefits • Comprehensive health coverage including medical, dental, and vision • 401(k) Plan • Equity awards • Flexible time off • Paid parental leave • Family Planning • Gym reimbursement • Annual personal development fund • Employee Assistance Program (EAP) • Mental wellness resources About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone","Databricks Information Technology is a product led organization transforming the way data is sourced, designed and used to help us scale seamlessly in face of incredible growth.",Databricks is the data and AI company.,Not specified,"['Influence decision-making for business teams through data, analytics, and business intelligence', 'Guide the business in identifying data needs and delivering mechanisms for acquiring and reporting such information and addressing the actual needs', 'Gather and maintain best practices that can be adopted across the business', 'Be considered the go-to expert for the business for data analysis, reporting, data warehousing, and business intelligence', 'Be responsible for the daily operations inclusive of troubleshooting and job monitoring']","[""2+ years of related experience with a Bachelor's or Master's degree in Computer Science, Statistics, Information Systems or another quantitative field""]","[""2+ years of related experience with a Bachelor's or Master's degree in Computer Science, Statistics, Information Systems or another quantitative field"", ""Experience building and optimizing 'big data' data pipelines, architectures and data sets"", 'Knowledge of data modeling and design of schemas for read and write performance', 'Advanced working knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases', 'Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement', 'Build processes supporting data transformation, data structures, metadata, dependency and workload management', ""Knowledge of message queuing, stream processing, API based extraction and highly scalable 'big data' data stores"", 'Experience supporting and working with cross-functional teams', 'Experience with Python and SQL', 'Experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday etc.', 'Knowledge of Databricks Platform', 'Knowledge of AI/ML/Data Science', 'Knowledge of BI Tools like Tableau, Looker etc']",Not specified,"['Comprehensive health coverage including medical, dental, and vision', '401(k) Plan', 'Equity awards', 'Flexible time off', 'Paid parental leave', 'Family Planning', 'Gym reimbursement', 'Annual personal development fund', 'Employee Assistance Program (EAP)', 'Mental wellness resources']" 904,Data Engineer - Data Ventures,Walmart,"Mountain View, CA","Position Summary... What you'll do... Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail? With the sheer scale of Walmart's environment comes the biggest of big data sets. As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on. You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way. You will partner with Data Scientists, Analysts, other engineers, and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers' lives. About Team: Data Ventures Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both stakeholders. We also optimize tariffs and assortment in accordance with Walmart's Everyday Low-Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites. Our team is responsible for providing support to US Marketplace sellers. We focus on providing immediate solutions to the cases/tickets created by sellers. We interact with multiple teams across the company to provide excellent seller experience. What you'll do: • Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current analytics trends. • Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. • Data Modeling: Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyses data-related system integration challenges and proposes appropriate solutions. • Code Development and Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbook, and provides timely progress updates. • Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working. • Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines. • Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others. Supporting and aligning efforts to meet customer and business needs and building commitment for perspectives and rationales. • Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders. Identifying business needs, determining, and carrying out necessary processes and practices. • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application, ensuring compliance with them. • Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives. Applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events. • Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports. What you'll bring: Must Have • Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. • You have a proven track record coding with at least one programming language (e.g., Scala, Python) • You're experienced in one of cloud computing platforms (e.g., GCP, Azure) • You're skilled in data modeling & data migration protocols. • Experience with GCP, Data warehousing, BI preferred • Experience with the integration tools like Automic, Airflow • Experience in building highly scalable Big Data solutions and ETL ecosystems. Nice to have • Knowledge of Databricks is an added advantage. • Hands on knowledge in NoSQL like Cosmos DB along with RDBMS like MySQL, Postgres is plus. • Hands on working experience in any messaging platform like Kafka is preferred. • Increase the efficiency of the team by setting right Processes of Software Development, Requirement Intake, Effort Estimation • Demonstrating creative, critical thinking & troubleshooting skills. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. Minimum and Preferred Qualification will be pulled in from the Workday Profile. Please do not add additional Minimum and Preferred Qualification sections. Additonal comments from the hiring manager: At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ Sunnyvale, California US-08479:The annual salary range for this position is $117,000.00-$234,000.00 ‎ BENTONVILLE, Arkansas US-09050:The annual salary range for this position is $90,000.00-$180,000.00 ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America",Walmart is a retail company with a large scale of data,To help people save money and live better,Hybrid work: office and virtual,"['Data Transformation and Integration', 'Data Source Identification', 'Data Modeling', 'Code Development and Testing', 'Applied Business Acumen', 'Data Governance']","[""Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field"", ""4 years' experience in software engineering or related field"", ""Master's degree in Computer Science""]","['Data engineering, database engineering, business intelligence, or business analytics', ""Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field"", 'Knowledge of accessibility best practices']","$117,000.00-$234,000.00 or $90,000.00-$180,000.00","['401(k) match', 'stock purchase plan', 'paid maternity and parental leave', 'PTO', 'multiple health plans']" 905,"Data Engineer- Mountain View, CA","Georgia IT, Inc.","Mountain View, CA","Position: Data Engineer Location: Mountain View, CA... Duration: Contract Rate: DOE Required Skills 10+ years of overall experience in data management space and at least 5 years of working in large data sets in a data lake environment : Highly proficient in SQL, Solid understanding of Spark including performance tuning. Solid understanding of the AWS Platform Experience in Python Nontechnical Skills Ability to work with Business and technical stake holders independently with minimal guidance - Must have Strong written and verbal communication and ability to articulate data with the business stake holders - Must have","Company in Mountain View, CA",,,"['Ability to work with Business and technical stake holders independently with minimal guidance', 'Strong written and verbal communication and ability to articulate data with the business stake holders']","['10+ years of overall experience in data management space', 'At least 5 years of working in large data sets in a data lake environment', 'Highly proficient in SQL', 'Solid understanding of Spark including performance tuning', 'Solid understanding of the AWS Platform', 'Experience in Python']",[],DOE,[] 906,Senior Staff Data Engineer,Cepheid,"Mountain View, CA","At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that... improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development. Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we're working at the pace of change on diagnostic tools that address the world's biggest health challenges, driven by knowing that behind every test there is a patient waiting. Learn about the Danaher Business System which makes everything possible. The Senior Staff Data Engineer is responsible for developing, maintaining, and scaling a central data science and analysis platform to enable new analytics applications. This position is part of the Biochip R&D Team and will be located in Sunnyvale, CA. We value an approachable and credible communication style and we're proud of our efforts to keep all levels of the organization informed, engaged and motivated. Intellectual honesty and agility, with the ability to pivot based on shifting priorities and balance multiple projects seamlessly in a fast-paced environment, are key. In this role, you will have the opportunity to: • Design, implement, maintain and continually improve a central cloud platform for data science operations. • Build scalable, high performance data pipelines (data layer, services, APIs, database integration and web applications) to enable new data analytics workflows. • Execute technical troubleshooting and improve the maintainability, quality and stability of our codebase by performing code reviews, fixing issues and adding unit tests and other necessary enhancements to the existing backend systems and services. • Evaluate emerging technologies and develop architectural changes to enhance the performance, scalability, and maintainability of existing data ecosystem. • Collaborate cross-functionally with internal teams to suggest and implement new functionalities or identify areas for improvement. The essential requirements of the job include: • Bachelor's degree in software engineering, computer science or a similar field with 10 years of related work experience, OR Master's degree with 8 years of related work experience. • Hands on experience with cloud (AWS and Azure), database technologies (SQL server, PostgreSQL, DynamoDB, Redshift, etc.), server technologies (event-pipeline, distributed computing and storage, etc.) and designing high performing microservice based solutions. • Strong programming fundamentals using Python. • Experience deploying commercial, production-grade software platforms, services and applications. • Understanding of modern automated test frameworks and CI/CD tooling. The salary range for this role is $170K-$210K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. #LI-PRO At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what's next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation. Estimated Salary: $20 to $28 per hour based on qualifications","Cepheid is passionate about improving health care through fast, accurate diagnostic testing.","Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges.",N/A,"['Design, implement, maintain and continually improve a central cloud platform for data science operations', 'Build scalable, high performance data pipelines', 'Execute technical troubleshooting and improve the maintainability, quality and stability of our codebase', 'Evaluate emerging technologies and develop architectural changes to enhance the performance, scalability, and maintainability of existing data ecosystem', 'Collaborate cross-functionally with internal teams to suggest and implement new functionalities or identify areas for improvement']","[""Bachelor's degree in software engineering, computer science or a similar field with 10 years of related work experience, OR Master's degree with 8 years of related work experience""]","['Hands on experience with cloud (AWS and Azure)', 'Experience deploying commercial, production-grade software platforms, services and applications']",$170K-$210K,"['paid time off', 'medical/dental/vision insurance', '401(k)']" 907,Data Engineer,Bonfy.AI,"Mountain View, CA","At Bonfy.AI, we're working behind the scenes on game-changing innovations to make AI trustworthy. Position Overview... Bonfy.AI is looking for a skilled Data Engineer to support our machine learning operations, focusing on building, maintaining, and enhancing the datasets necessary for training and testing our ML models. The ideal candidate will excel in data architecture and engineering, with a strong emphasis on creating efficient data pipelines for large-scale data processing. Responsibilities: • Design and construct robust data pipelines to collect, integrate, and prepare large volumes of data for machine learning. • Work closely with ML engineers and data scientists to understand their data needs and implement systems that support model training, validation, and deployment. • Develop and maintain an efficient data warehouse to store and manage data effectively, ensuring data quality and accessibility. • Implement automated processes for data cleaning, validation, and preprocessing to improve data accuracy and usability for ML purposes. • Optimize data retrieval and develop dashboards for visualizing data metrics and insights to aid in the ML model development process. • Assist in the creation and maintenance of a scalable architecture for ML model testing and deployment. • Troubleshoot and resolve issues in the data pipelines and advocate for improvements to enhance performance and reliability. • Document all data engineering procedures and create reports for management detailing data usage, data integrity, and the impact of data quality on ML outcomes. Technical Requirements: • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. • Minimum of 3 years of experience in a data engineering role, preferably supporting machine learning operations. • Strong programming skills in Python • Proficient in SQL and experience with relational databases, query authoring, as well as working familiarity with a variety of databases. • Experience with data modeling, data warehousing, and building ETL pipelines. • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and understanding of data needs for ML model training and testing. • Strong analytical skills and ability to work with large, complex data sets. • Excellent problem-solving skills and attention to detail. Additional Requirements: • Applicants must have legal authorization to work in the United States • Applicants must be able to work in a hybrid mode at our office located in Mountain View, California. If you're passionate about data engineering and ML ops and want to be part of a rapidly growing startup, we would love to hear from you",Bonfy.AI is a rapidly growing startup working on game-changing innovations to make AI trustworthy.,Make AI trustworthy,,"['Design and construct robust data pipelines to collect, integrate, and prepare large volumes of data for machine learning', 'Work closely with ML engineers and data scientists to understand their data needs and implement systems that support model training, validation, and deployment', 'Develop and maintain an efficient data warehouse to store and manage data effectively, ensuring data quality and accessibility', 'Implement automated processes for data cleaning, validation, and preprocessing to improve data accuracy and usability for ML purposes', 'Optimize data retrieval and develop dashboards for visualizing data metrics and insights to aid in the ML model development process', 'Assist in the creation and maintenance of a scalable architecture for ML model testing and deployment', 'Troubleshoot and resolve issues in the data pipelines and advocate for improvements to enhance performance and reliability', 'Document all data engineering procedures and create reports for management detailing data usage, data integrity, and the impact of data quality on ML outcomes']","[""Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field"", 'Minimum of 3 years of experience in a data engineering role', 'Strong programming skills in Python', 'Proficient in SQL and experience with relational databases, query authoring, as well as working familiarity with a variety of databases', 'Experience with data modeling, data warehousing, and building ETL pipelines', 'Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and understanding of data needs for ML model training and testing', 'Strong analytical skills and ability to work with large, complex data sets', 'Excellent problem-solving skills and attention to detail']",[],,[] 910,"AWS Data Engineer (Mountainview, CA; )",CEDENT,"Mountain View, CA","5+ years of data engineer experience in developing, implementing, delivering, and managing end-to-end data solutions using AWS Glue Expertise in designing, developing, and maintaining database schema objects including tables, indexes, stored procedures, and user-defined functions for database applications Proficiency in cloud data technologies, such as AWS S3, AWS Glue, EC2 Knowledge of Snowflake/AWS Redshift as a data warehousing solution Advanced knowledge in designing, developing, implementing and managing data pipelines to deliver data or data insights for application, reporting, or analytics Strong experience creating and maintaining functional and technical specifications documents Strong experience creating test plans, test data sets, and automated testing ot ensure all components of the system meet specifications Strong SQL technical experience such as linking IT applications to databases and creating and handling metadata Strong programming skill in Python or Scala Bonus... skills: Strong experience in NoSQL database (i.e., MongoDB) Strong experience in streaming technology (i.e., Kafka, data bricks streaming) Strong experience in working in the healthcare industry including PHI, HIPAA regulations, and BAA processes ? AWS DATA ENGINEER RESPONSIBILITIES Analyze, define, and document system requirements for data, workflow, logical processes, interfaces with other systems, auditing, reporting requirements, and production configuration Design, develop, implement, deliver and manage ETL processes or data pipelines to enable data accessibility to application, reporting and analytics Support the creation of the new cloud infrastructure and data ecosystem in the cloud Department: Preferred Vendors This is a contract position","Company overview, industry, products, services, and notable achievements","Company mission, vision, values, and culture, including commitments to diversity, inclusion, social responsibility, and work-life balance","Remote work options for the role (full, hybrid, none)","['List of responsibilities, including tasks, duties, and expectations for the role']",['Essential educational qualifications and professional experience required for the role'],['Any additional qualifications that a candidate may possess to stand out or excel in the role'],Salary range or hourly pay range for the role,"['List of benefits and perks offered for the role, such as insurance, retirement plans, and paid time off']" 911,Data Infrastructure Engineer,Applied Intuition,"Mountain View, CA","About the role We are looking for infrastructure engineers with expertise in data pipelines to join the Data & ML infra group. This role will work across the entire data lifecycle (collection, ingestion, storage, querying, retrieval) and work directly with product teams across the company to design and develop both external and internal products. Handling massive volumes of data for Applied... Intuition's platform needs is a critical area and we are looking for someone who can be hands-on in supporting our data products and services across the company. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied Intuition, you will: • Develop and deploy event-driven pipelines using extract, load and transform (ELT) architecture focused on distributed ingestion. • Build features to tune processing pipeline for fast data ingestion and indexing depending on customer's needs and workloads. • Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks. • Develop and deploy high-quality software using modern tooling and frameworks. • Encourage change, especially in support of data engineering best practices, and maintain a high standard of excellence. • Work with products and teams across Applied Intuition. We're looking for someone who has: • Experience with large-scale open source data processing frameworks (Spark, Kafka, Airflow, Flink, Hudi, etc.). • Experience with containerization and other modern software development workflows. • Knowledge of the open source landscape with judgment on when to choose open source versus build in-house. • Strong knowledge of data concepts, including experience in using a big data warehouse. Nice to have: • Expertise with modern programming languages (Python, C++, GoLang, etc.). • Experience with enterprise software, including on-prem and/or cloud environments. • Deep knowledge of data quality, data profiling and cleansing techniques. The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices",Applied Intuition is a company that uses data and machine learning to improve its products and services.,"The company encourages engineers to take ownership of technical and product decisions, interact with users to collect feedback, and contribute to a dynamic team culture.",Not specified,"['Develop and deploy event-driven pipelines using extract, load and transform (ELT) architecture focused on distributed ingestion', ""Build features to tune processing pipeline for fast data ingestion and indexing depending on customer's needs and workloads"", 'Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks', 'Develop and deploy high-quality software using modern tooling and frameworks', 'Encourage change, especially in support of data engineering best practices, and maintain a high standard of excellence', 'Work with products and teams across Applied Intuition']","['Experience with large-scale open source data processing frameworks (Spark, Kafka, Airflow, Flink, Hudi, etc.)', 'Experience with containerization and other modern software development workflows', 'Knowledge of the open source landscape with judgment on when to choose open source versus build in-house', 'Strong knowledge of data concepts, including experience in using a big data warehouse']","['Expertise with modern programming languages (Python, C++, GoLang, etc.)', 'Experience with enterprise software, including on-prem and/or cloud environments', 'Deep knowledge of data quality, data profiling and cleansing techniques']","$65,000 USD to $400,000 USD annually",['Not specified']