4,550 Results for

Data Scientist Jobs in Oakland, CA

Jobs

New!

South San Francisco, CA2 days ago

$79–$79.96 Per Hour

The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.

New!

Alameda, CA3 days ago

$50–$55 Per Hour

This hands-on laboratory role requires expertise in molecular biology, protein expression systems, and chromatographic purification methods, with opportunities to contribute across multiple research initiatives in a fast-paced discovery environment.

Bachelor's degree in Biochemistry, Molecular Biology, Structural Biology, or a related scientific discipline with 3+ years of relevant industry experience; or Master's degree with 1+ year of relevant industry experience.

New!

Santa Clara, CA5 days ago

Remote

$82,000–$136,000 Per 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.

Foster City, CA11 days ago

$146,200–$233,700 Per 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.

San Francisco, CA30+ days ago

As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights.

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement.

Berkeley, California30+ days ago

p style="min-height:1.5em">If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 - $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.

San Francisco, CA30+ days ago

$149,200–$201,800 Per Year

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Data Scientist Remote - US Select locations | Dropbox Careers Skip to main content EN EN PL 0 Jobs that caught your eye Jobs Inside Dropbox Teams View Teams Admin Business Development Business Strategy & Ops Communications & Brand Company Strategy & Ops Corporate IT Engineering Customer Experience and Success Data Science Design & Research Engineering Finance Legal Marketing Office People Product Sales Security Virtual First Whats new How we hire Emerging Talent Events Open Role Data Scientist Remote - US Select locations Remote Data Science Full Time Dropbox is a Virtual First company.

CA25 days ago

$128,000–$252,500 Per 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.

San Francisco, CA30+ days ago

$128,000–$252,500 Per Year

p>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.

San Ramon, CA15 days ago

In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.

Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data.

San Francisco, California30+ days ago

p style="min-height:1.5em">By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy. You will be the dedicated data scientist on HingeSelect's discovery and visits experience, partnering directly with Product and Engineering to diagnose conversion bottlenecks, establish causal guardrails against cannibalization of existing programs, and ensure strong instrumentation so every product bet has a clear feedback loop to business impact.

CA23 days ago

$95,600–$188,400 Per 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 framework design, 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.

Palo Alto, CA22 days ago

$79.21–$104.97 Per 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.

CA30+ days ago

$139,900–$274,800 Per Year

p>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.

CA17 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.

CA30+ days ago

$119,800–$234,700 Per Year

p>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.

San Francisco, CA30+ days ago

$180,000–$250,000 Per Year

Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of whats possible while creating value for all of our partners. The Staff Data Scientist, Credit Strategy is a key member of the Risk Management team, responsible for designing, deploying, and optimizing end-to-end credit strategies that balance growth, profitability, and credit risk.

San Francisco, California30+ days ago

p style="min-height:1.5em">While your primary focus is evaluative, you will be a key player in the broader clinical DS ecosystem, collaborating on patient risk stratification and building the forecasting engines that predict our quality performance across various value-based care programs.

Collaborate on Patient Risk: Partner with other Staff Data Scientists to refine and validate patient risk models, ensuring that "rising acuity" signals are integrated effectively into our performance evaluation loops.

San Francisco, CA15 days ago

$160,000–$225,000 Per Year

By providing senior technical leadership, you will streamline our modeling pipelines, mentor high-potential talent, and bridge the gap between complex data architecture and non-technical fraud experts.

CCPA Notice at Collection for California Employees and Applicants:

https://www.varomoney.com/privacy-legal/.

New!

San Francisco, CA3 days ago

p>As a senior technical voice on the team, the Data Scientist will help uplevel the organization's capabilities in data science, machine learning, and generative AI, advising on methodology, helping to develop and test AI product features, and raising the technical bar within product and engineering.

Leverage rigorous quasi-experimental designs (e.g., difference-in-differences, regression discontinuity) and advanced causal inference techniques to evaluate the impact of complex product and program decisions where randomized testing is not feasible.

San Jose, CA30+ days ago

p>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.

San Francisco, CA17 days ago

You''ll be the first dedicated Data Scientist on a team that has operated as a product analytics function - meaning you''ll define what rigorous experimentation and ML-driven insight looks like at MaintainX, and directly influence how our product evolves.

Build and deploy ML models - GBMs, random forests, logistic regression - that turn product signals into actionable decisions for PMs and engineering leads.

San Francisco, CA30+ days ago

$164,428–$287,749 Per Year

p>What we're looking for: Bachelor's/Master's degree in a relevant field such as Data Science, or equivalent experience 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space.

Mountain View, CA30+ days ago

$119,800–$234,700 Per Year

p>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.

San Francisco, California30+ days ago

Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles.

San Francisco, CA30+ days ago

$139,764–$287,749 Per Year

li>Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML engineers, Trust & Safety specialists, policy teams, product managers, and legal partners to ensure safe product launches.

Bring scientific rigor and statistical methods to the evaluation of AI safety - including benchmark dataset construction, evaluation calibration, and success-metric definition (vulnerability severity, coverage breadth, pre-launch risk reduction).

Palo Alto, CA12 days ago

$130,000–$165,000 Per 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.

San Francisco, CA22 days ago

The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.

San Francisco, California30+ days ago

design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users?

Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data.

Redwood City, CA30+ days ago

Remote

p>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 ).

Mountain View, CA10 days ago

li>

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).

Foster City, CA30+ days ago

$153,755–$208,035 Per Year

li>

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.

Half Moon Bay, CA30+ days ago

$126,000–$179,300 Per Year

Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid. Minimum: • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field • 4 years in data science OR 2 years, if possess Master's Degree, as described above.

San Francisco, CA30+ days ago

D. in Operations Research Operations Management Industrial Engineering Applied Mathematics or a closely related quantitative discipline.10 years of experience developing deploying and scaling optimization and data science solutions in retail supply chain or similar complex domains. The Principal Data Scientist serves as a senior technical and strategic thought partner defining solution architectures influencing product and business decisions and ensuring that analytical solutions are both technically rigorous and operationally viable.

Mountain View, CA25 days ago

5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of work experience with a Master"s degree. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.

San Bruno, CA18 days ago

li>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.

San Francisco, CA30+ days ago

LocationOffices in Freiburg, Berlin, San Francisco and NYC with flexibility to work across our locationsBenefitsCompetitive compensation package with meaningful equity30 days of paid vacation + public holidaysComprehensive benefits including healthcare, transportation, and fitnessWork with state-of-the-art ML architecture, substantial compute resources and with a world-class teamOur CommitmentsWe believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. Data Scientist: PhD/Masters in a quantitative field + 3 yrs experience building/deploying ML/AI (industry, Kaggle, open-source).Technical Expertise: Deep Python & data science ecosystem knowledge; strong software engineering practices.

San Francisco, CA10 days ago

p>Position Overview:

As a Data Scientist at RIIG, you will play a pivotal role in analyzing complex data sets, developing advanced models, and providing actionable insights to drive our cybersecurity solutions.

At Riggleman Information and Intelligence Group (RIIG Tech), we're more than just a technology company-we're a team dedicated to innovation, excellence, and making a difference in the world of cybersecurity.

Palo Alto, California16 days ago

li>

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. 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.

Novato, CA30+ days ago

$118,400–$162,800 Per Year

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Oakland, CA30+ days ago

$140,000–$207,900 Per Year

Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid. The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives.

San Francisco, CA30+ days ago

Remote

We are seeking a Senior Data Scientist to lead measurement and analytics initiatives for a cutting-edge Market & Media Analytics Product Platform used by large enterprise clients. This role focuses on designing scalable analytics frameworks, building experimentation strategies, and delivering actionable insights to optimize marketing performance.

San Francisco, CA30+ days ago

$180,000–$250,000 Per Year

p>The Staff Data Scientist, Funnel Analytics & Optimization is a key member of the Risk & Analytics team, responsible for analyzing end-to-end customer funnel performance and designing analytical frameworks that drive meaningful improvements in conversion, efficiency, and customer outcomes for a small-business portfolio. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of whats possible while creating value for all of our partners.

San Francisco, CA30+ days ago

$204,000–$259,000 Per Year

Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.

Novato, CA15 days ago

$60,000–$75,000 Per Year

p>The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. Globally recognized as a pioneer and leader in efforts to target aging - the number one risk factor for diseases including Alzheimer's disease, Parkinson's disease, cancer, macular degeneration, heart disease, and diabetes - the Buck seeks to help people live better longer.

San Francisco, CA30+ days ago

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Braze was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®.

San Ramon, CA30+ days ago

Remote

$150,000–$180,000 Per Year

a href="https://www.aptask.com/term-of-use/" rel="nofollow noopener noreferrer" target="_blank" title="https://www.aptask.com/term-of-use/">Terms of Use and Privacy

Collaboration with Experts: Work closely with subject matter experts and other specialists to contextualize analytical findings, collaboratively validate interpretations across languages (working with language experts), and ensure that cross-market comparisons account for linguistic and cultural variation.

Mountain View, CA24 days ago

$102,100–$202,200 Per Year

OR Masters Degree 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 consulting experience. OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

Mountain View, CA30+ days ago

$119,800–$234,700 Per 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) OR Master's 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 Bachelor's 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. 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 Master's 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 Bachelor'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 equivalent experience.

Mountain View, CA30+ days ago

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.

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Data Scientist Jobs in Oakland, CA

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