3,446 Results for

Data Scientist Jobs in Cupertino, CA

Jobs

Santa Clara, CA

Remote

$82,000–$136,000 / year
Full time

Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

18 days ago

Foster City, CA

$146,200–$233,700 / year

Solution Delivery: Contribute to product discovery, working closely with Product leaders, Data Scientists, UX teams and other stakeholders to establish a clear understanding of the target users’, pain points to ensure solutions meet the required product outcomes. Accountabilities: Strategy, Planning and Prioritisation: Work with product leaders to understand product area vision and goals, communicating with stakeholders and working with product engineering teams to ensure that the team maintains a cohesive vision and delivers outcomes that are aligned to goals.

10 days ago

Foster City, CA

$169,100–$270,800 / year

As an AI Engineer in AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solutions. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

1 day ago

Foster City, CA

$192,200–$307,700 / year

Experienced with high-performance imperative languages including Python, Java, Golang, React.js, Next.js • Built predictive models using Python and ML libraries and managed their lifecycle, from development to production. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

1 day ago

Santa Clara, CA

$82,000–$136,000 / year
Full time

Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

21 days ago

San Jose, CA

$179,900–$212,300 / year

Senior Software Engineer, Video Platform Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Senior Software Engineer - Business Applications and Machine Learning Boston, Massachusetts Senior Software Engineer - Business Applications and Machine Learning New York Senior Software Engineer, Content Platform San Jose, California Ad Operations Associate Santa Monica, California Senior Technical Program Manager Nanshan, Shenzhen, Guangdong Senior Software Engineer Data Management Platform Milton, Cambridge, England Senior Software Engineer Data Management Platform Oxford Road, Manchester, England. blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_4_0" style="background-image: linear-gradient(rgba(0, 0, 0, 0.0),rgba(0, 0, 0, 0.0)), url( https://d25wby5c7p9100.cloudfront.net/public/uploads/9dd4272d942760bfb0f16858b0a632e7/images/files/9fe8b0cc48a58cfb0c4d05137e277a7e/large/Purple_People.jpg?1632851332);background-position : 50% 50%" title="">.

30+ days ago

As technology continues to evolve, your commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users" information needs. As a part of the Discover Personalization and Quality team, you will partner with engineering and product, develop deep understanding of how to build a personalized retrieval and ranking system that delivers high-quality, compelling and valuable content.

30 days ago

$139,900–$274,800 / year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years 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.

30+ days ago

San Jose, CA

$128,000–$252,500 / year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

30+ days ago

$128,000–$252,500 / year

30+ days ago

$119,800–$234,700 / year

Additional or preferred qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors 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 equivalent experience. Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

30+ days ago

Sunnyvale, CA

$143,000–$286,000 / year

In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from vector databases, setup and provisioning of managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model selection, iterative prompt engineering and fine-tuning based on accuracy and user feedback, monitoring, and governance. Deep experience in simultaneously leading multiple data science initiatives end-to-end from translating business needs to analytical asks, leading the process of building solutions, and the eventual act of deployment and maintenance of them.

15 days ago

Mountain View, CA

In this role, you will guide product development and executive decisions with rigorous data science, measuring the long-term impact of changes on users, advertisers, and Google"s systems with innovative experiment designs and deep data analysis. Design and implement innovative experiment designs, statistical models, and measurement frameworks to analyze the long-term impact of product changes on users, advertisers, and Google"s systems.

8 days ago

Palo Alto, CA

$79.21–$104.97 / hour

This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner.

30+ days ago

Mountain View, CA

$119,800–$234,700 / year

Required Qualifications: • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Equivalent experience. Preferred Qualifications: • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ • Committed organizational, analytical, data science skills • Ability to solve problems that the world has not solved before • Experience with real world system building and data collection, including design, coding and evaluation • Experience with driving large collaboration across multiple teams • Experience with communicating with different audiences to provide insights • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

30+ days ago

Sunnyvale, CA

If you like using data, metrics, forecasts, statistics, operations research, analytical insights, strategic thinking and executive level business communications to optimize large spend decisions on Google"s technical infrastructure, then you should consider joining ODS as a Data Scientist. Operations Data Science (ODS) is a team of Data Scientists (Research and Analyst) experts, who provide model-based decision support to scale Google"s Technical Infrastructure optimally.

1 day ago

Designed to simplify workflows and boost team productivity, Workspace features real-time collaboration at its core, allowing information to flow freely across devices and teams so that great ideas are never lost. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience with a Master"s degree).

30 days ago

Palo Alto, CA

$130,000–$165,000 / year

DELFI Diagnostics' platform relies on fragmentomics - the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. Doctoral degree in Computational Biology, Bioinformatics, Data Science, or a related field with 2+ years of industry experience; or, Master's with 3+ years of industry experience; or, Bachelor's with 5+ years of industry experience.

25 days ago

Sunnyvale, CA

$117,000–$234,000 / year

About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart's product catalog is accurate, complete, and optimized for customer experience. As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine learning models in production to extract attributes from product information.

30+ days ago

Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision.

30+ days ago

San Mateo, CA

$170,000–$210,000 / year

Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet.

13 days ago

Mountain View, CA

Particularly, you will measure the long-term impact of all the changes you make on users, advertisers, and Google systems with experiment designs, identify new growth opportunities with data analysis, and understand the tradeoffs between user, advertiser, and Google value with principled frameworks. You will support the Search Ads and Google Experience (SAGE) organization in developing ad products at Google-from classic text ads and rich shopping ads to new products like demand generation campaigns, local ads, travel ads, and more.

10 days ago

Mountain View, CA

8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master"s degree). Research and develop analysis and methods to improve the quality of Google"s user-facing products (e.g., application areas include AI Mode shopping product quality, and shopping search quality).

23 days ago

Redwood City, CA

Remote

You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing ).

30+ days ago

Mountain View, CA

As a Senior Product Data Scientist, you will join the Pixel Data Science team, acting as a critical thought partner to product, engineering, and executive leaders within the centralized devices and services organization. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of work experience with a Master"s degree.

8 days ago

San Bruno, CA

Position requires 3 years of experience in the following: Python or R for statistical analysis and data manipulation, Product analysis, including root cause analysis and quantitative assessment of critical user journeys, Translating open-ended business problems into structured analytical frameworks, Defining and rationalizing metrics to measure product success and business outcomes, Communicating quantitative insights to influence non-technical and senior leadership stakeholders. Minimum qualifications: Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.

30+ days ago

San Jose, CA

The Senior Data Scientist - Business Analytics & AI is a senior individual contributor role responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. This role partners closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains.

30+ days ago

San Jose, California

The Senior Data Scientist – Business Analytics & AI is a senior individual contributor role responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. This role partners closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains.

30+ days ago

Sunnyvale, CA

$143,000–$286,000 / year

The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. 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.

30+ days ago

Mountain View, CA

Among other things, good measurement helps advertisers and platforms to conceptualize, create and plan successful campaigns; to serve the right ads to the right users; to help allocate resources to the right channels and to allocate bids in auctions and budgets across campaigns appropriately; and to audit the efficacy of ads in delivering on various campaign goals. Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, targeting, bidding etc., and develop and implement quantitative methods to answer those questions.

10 days ago

Mountain View, CA

Your technical work must drive measurable business impact, bridge the gap between complex infrastructure and product execution turning interaction data into clear, actionable insights that dictate what we build next. 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master"s degree).

2 days ago

Mountain View, CA

By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting.

30+ days ago

Mountain View, CA

$139,900–$274,800 / year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters 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 Bachelors 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. We’re looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.

30+ days ago

Sunnyvale, CA

$169,000–$338,000 / year

You will lead advanced analytics initiatives, develop innovative machine learning systems, and mentor teams of data scientists and engineers while fostering a culture of innovation, operational excellence, and continuous learning. The team consists of software engineers, data scientists, machine learning engineers, and business experts working together to solve large-scale retail and enterprise challenges using cutting-edge technologies.

30+ days ago

Mountain View, CA

Position requires: Using analytics to solve product or business problems; Coding in SQL; Coding in Python or R; Querying databases or statistical analysis; Analysis applications involving extracting insights and performing statistical analysis; One of the following: Experiment design, Mathematical optimization, Machine Learning, User experience measurement, or Measurement and attribution. Minimum qualifications: Master"s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field, and 3 years of experience in the job offered or in a Data Scientist- related occupation.

10 days ago

Mountain View, CA

In this role, you will drive critical insights that inform the long-term strategy, product roadmap, and business model for Google's flagship consumer AI plus, pro and ultra subscriptions and our core Google One storage subscriptions. You will work closely with cross-functional and cross-Product Area teams and their leadership (across product, engineering, strategy, finance, partnerships, design/UX, operations, and marketing).

1 day ago

Pleasanton, CA

In this role, you will focus primarily on digital product analytics and experimentation, analyzing the end-to-end digital funnel, drive traffic insights and measurable improvements in conversion and customer experience. As part of the Brand Data Science team, you'll join a group of creative, business-minded data scientists who combine analytical rigor, technical depth, and executive storytelling to drive meaningful impact.

30+ days ago

Sunnyvale, CA

$132,000–$286,000 / year

Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on. Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.

30+ days ago

Sunnyvale, CA

$143,000–$286,000 / year

As the Staff Data Scientist, you'll be responsible for the comprehensive implementation of Machine Learning algorithms and features, guiding a scrum team and working in synergy with a skilled team of Product Managers and Technologists to implement ML/AI solutions at scale. Proficiency in Programming, SQL and Data Analysis: The candidate should be highly proficient in languages such as Java, Python, PySpark, and have experience with machine learning frameworks like Tensorflow and PyTorch.

30+ days ago

Pleasanton, CA

Main responsibilities: Define and implement the overarching data science and AI architecture and technical strategy for a team of data scientists that will build data science and AI capabilities to optimize operations, processes and capabilities in Source to Table transformation area that would include 1) end to end demand forecasting; 2) inventory optimization to minimize out of stocks; 3) store and warehouse replenishment to minimize supply chain waste; 4) Agentic AI frameworks to augment and automate planning and execution capabilities. Locally great and nationally strong, Albertsons Companies (NYSE: ACI) is a leading food and drug retailer in the U.S. We operate over 2,200 stores, 1,732 pharmacies, 405 fuel centers, 22 distribution facilities, and 19 manufacturing plants across 34 states and the District of Columbia.

30+ days ago

Menlo Park, CA

$156,000–$224,200 / year

Deep modeling skills, including strong judgment around when to use simpler driver-based approaches versus more advanced methods such as hierarchical, Bayesian, probabilistic, deep learning, or state-space models. You will work on high-impact, open-ended problems involving revenue forecasting, customer consumption behavior, workload ramps, renewals, and other leading indicators that feed Snowflake's broader financial planning processes.

30+ days ago

San Jose, CA

Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities. This Staff Data Scientist will own the analytical strategy for a major product area: identifying the right questions, defining how success is measured, and driving decisions that shape Firefox’s growth trajectory.

15 days ago

Mountain View, CA

Partner with Games Data Science and Product Strategy team members, Play Games, Product Management, Engineering, Product Marketing Manager, UX and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences. This team is truly embedded in the product development life-cycle: we are thought partners from project ideation to experimentation, and our deep dive analysis consistently help set strategy for the wider area we work on.

1 day ago

Mountain View, CA

Partner with Games Data Science and Product Strategy team members, Play Games, Product Management, Engineering, Product Marketing Manager, UX and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences. This team is truly embedded in the product development lifecycle: we are thought partners from project ideation to experimentation, and our deep dive analyses consistently help set strategy for the wider area we work on.

1 day ago

The Workspace Collab Data Science team empowers product teams for Drive, Docs, Sheets, Slides, Vids (and more) through development of key metrics, data-driven insights, modeling, experimentation and other forms of causal inference to grow product adoption and AI usage. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience with a Master"s degree).

30 days ago

San Jose, CA

Teams across this area research, design, and develop new technologies to make our user"s interaction with computing faster and more seamless, building innovative experiences for our users around the world. 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years work experience and a Master"s degree.

2 days ago

San Jose, California

We’re a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital , DTCP (formerly Deutsche Telekom Capital Partners) , Deepwork Capital , and the Florida Opportunity Fund . You will leverage large volumes of cybersecurity and operational data to create models that enhance our Managed Detection and Response (MDR) capabilities, including anomaly detection, threat scoring, and automated alert triage.

30+ days ago

Campbell, California

Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on extensive datasets, you will measure outcomes, identify causal impacts, predict future performance, and design innovative data-driven solutions. Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions.

30+ days ago

Palo Alto, California

Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders. Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics.

29 days ago

Foster City, CA

$153,755–$208,035 / year

Skilled in Python and SQL for building robust data pipelines and preprocessing large-scale datasets using big data tools like Spark, BigQuery, or Redshift. By transforming large-scale structured and unstructured data into production-grade GenAI and machine learning solutions, you will ensure our AI products drive measurable value for our customers and the mission.

30+ days ago

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Data Scientist Jobs in Cupertino, CA

Data Scientist/Engineer - Junior (Remote) SynergisticIT

Product Manager Visa Technology and Operations LLC

Staff Machine Learning Engineer, Responsible AI Engineering Visa Technology and Operations LLC

Senior Staff Engineer, AI Governance Visa Technology and Operations LLC

java microservices developer/Jr data analyst SynergisticIT

Senior Data Scientist Roku Inc

Staff Data Scientist, Discover Personalization and Quality Google LLC

Principal Data Scientist Microsoft Corp

Senior Data Scientist - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior Data Scientist Microsoft Corp

(USA) Principal, Data Scientist Walmart Inc

Staff Product Data Scientist Manager, Search Ads Google LLC

Data Scientist - AI/ML Stanford Health Care

Senior Data Scientist - Microsoft Advertising Microsoft Corp

Product Data Scientist, Operations Google LLC

Staff Product Data Scientist, Workspace Monetization Google LLC

Senior Data Scientist, Computational Biology Delfi Diagnostics Inc

Senior, Data Scientist Walmart Inc

Senior Data Scientist - Scientific AI McKinsey & Co Inc

Senior Data Scientist Fanatics Inc

Staff Research Data Scientist, Search Ads GenAI Google LLC

Senior Product Data Scientist, Consumer Shopping Google LLC

Senior Data Scientist Rundoo Inc

Senior Product Data Scientist, Pixel Google LLC

Data Scientist Google LLC

Senior Data Scientist - Business Analytics - AI Advanced Micro Devices Inc

Senior Data Scientist – Business Analytics - AI Advanced Micro Devices, Inc

(USA) Staff, Data Scientist Walmart Inc

Senior Research Data Scientist, Ads Insights and Measurement Google LLC

Senior Staff Product Data Scientist, Merchant Shopping Google LLC

Senior Data Scientist, Product, Ads Privacy and Safety Google LLC

Principal Data Scientist - CoreAI Microsoft

Distinguished, Data Scientist Walmart Inc

Data Scientist, Research - multiple openings Google LLC

Senior Staff Product Data Scientist Manager, AI Subscriptions Google LLC

Data Scientist, Digital Product Analytics The Gap Inc

Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning) Target Corp

Staff, Data Scientist Walmart Inc

Lead Data Scientist Albertsons Companies Inc

Senior Data Scientist Snowflake Inc

Staff Data Scientist Mozilla

Product Data Scientist, Google Play, DSA Google LLC

Senior Product Data Scientist, Google Play, DSA Google LLC

Staff Product Data Scientist, Workspace Collab Google LLC

Senior Product Data Scientist Manager, Android Google LLC

Senior Data Scientist Tenex.Ai

Data Scientist Aven

Senior Data Scientist, Pricing Mudflap

Staff Data Scientist - AI Products EchoStar Corp

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