5,562 Results for

Data Scientist Jobs in San Francisco, CA

Jobs

South San Francisco, CA

$79–$79.96 / 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.

2 days ago

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.

11 days 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.

14 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

San Francisco, CA

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.

30+ days ago

Berkeley, CA

$7,500–$15,000 / year

As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead - Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems.

2 days ago

Berkeley, California

As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems.

30+ days ago

San Francisco, CA

$149,200–$201,800 / year

US Zone 2 California outside SF metro, Colorado, Connecticut outside NYC metro, Delaware, Illinois, Chicago metro, Indiana, Chicago metro, Maryland, Massachusetts, Michigan, Chicago metro, New Hampshire, New Jersey outside NYC metro, New York outside NYC metro, Oregon, Pennsylvania, D.C. metro, Pennsylvania outside NYC metro, Texas, Austin metro, Virginia, DC metro, Washington outside Seattle metro, Washington DC metro, West Virginia, DC metro, Wisconsin, Chicago metro. 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.

30+ days ago

Santa Clara, CA

Join NVIDIA as a Senior Data Scientist on our Finance Data Science and AI team, where you will work alongside Data Scientists, Data Engineers, AI developers to lead the integration of innovative Data Science and AI solutions into our financial processes. What you'll be doing: Combine business insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization.

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 Francisco, California

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. Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.

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

San Ramon, CA

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.

21 days ago

$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

San Jose, CA

$128,000–$252,500 / year

30+ 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.

28 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.

23 days ago

San Francisco, CA

$180,000–$250,000 / 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.

30+ days ago

$95,600–$188,400 / 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.

29 days ago

San Francisco, California

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. Automate Model Lifecycles with AI Agents: Architect and oversee AI-driven agents that autonomously manage the end-to-end lifecycle of our statistical models — leveraging automation for continuous training, deployment, performance monitoring, and proactive model refreshes.

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.

6 days ago

San Francisco, CA

$160,000–$225,000 / 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. Deep Domain Expertise: Proven track record in financial industry fraud and/or risk modeling, ideally within subprime lending or high-volume payment environments.

21 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.

8 days ago

San Francisco, CA

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.

23 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

San Francisco, CA

With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

2 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 Francisco, CA

$164,428–$287,749 / year

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.

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.

18 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

San Francisco, CA

$139,764–$287,749 / year

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).

30+ days ago

Sunnyvale, CA

$117,000–$234,000 / year

In this impactful position, you will: Contribute to the development of intelligent, large-scale forecasting systems by designing and improving models that analyze data across numerous item, store, and location combinations. 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.

30+ days ago

San Francisco, CA

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.

30+ days ago

San Francisco, CA

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.

28 days ago

San Francisco, California

You'll 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.

30+ days ago

San Francisco, California

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. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future.

30+ days 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).

23 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

San Francisco, CA

2 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

Mountain View, CA

$102,100–$202,200 / 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).

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) 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.

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 Francisco, 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.

8 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).

16 days ago

Mountain View, CA

Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (e.g., VPs and Directors). 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 work experience with a Master"s degree.

3 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.

3 days ago

San Ramon, CA

$100,000–$150,000 / year

Fueled and driven by capable, committed people who share common beliefs and values and "bring it" every day, EPIC is always looking for people who have "the right stuff" - people who know what they want and aren't afraid to make it happen. LOCATION: Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations (for a full list, visit: https://www.epicbrokers.com/about/locations/).

18 days ago

San Francisco, 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

San Francisco, CA

$180,000–$250,000 / year

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.

30+ days ago

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