5,003 Results for

Data Scientist Jobs in Mountain View, CA

Jobs

South San Francisco, CA28 days ago

$45–$65 Per Hour
Full-time
Employee

Within this group, the Digital Pathology team focuses on revolutionizing the analysis of digital histopathology slides by leveraging computational methods to enhance pathological evaluations traditionally performed solely by humans. The role requires close collaboration with pathologists to design and execute image analysis workflows tailored to biological questions, as well as working with computational and data scientists across various departments.

San Jose, CA14 days ago

$79,000–$145,000 Per Year
Full-time
Employee

SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.

Pleasanton, CA30+ days ago

$71,900–$115,440 Per Year

Position Summary : The Scientist II will perform hands-on molecular laboratory work to support the design, optimization, and development of qPCR and digital PCR (dPCR) assays for the organization’s advanced molecular platforms. Working Conditions & Physical Demands : The following reflect the physical and environmental expectations of this role: • Ability to stand or sit for extended periods while performing laboratory duties.

San Jose, CA30+ days ago

$179,900–$212,300 Per 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="">.

Mountain View, CA30+ days ago

$139,900–$274,800 Per 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 Masters 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 Bachelors 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 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.

San Francisco, CA30+ days ago

$149,200–$201,800 Per 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.

Mountain View, CA30+ days ago

$119,800–$234,700 Per Year

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. 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.

New!

San Ramon, CA4 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, 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.

San Francisco, CA30+ days ago

$162,400–$219,600 Per Year

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. Joining on the ground floor of this startup team, you'll partner directly with Data Science, Product, Engineering, and Design leadership to shape the product roadmap, foster a top-tier data-informed culture, and drive real AI/ML impact and execution along the way.

New!

San Francisco, CA6 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.

Palo Alto, CA11 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.

Mountain View, CA28 days ago

$119,800–$234,700 Per Year

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).

San Jose, 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.

New!

Mountain View, CA6 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.

Redwood City, CA30+ days ago

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 ).

San Francisco, CA12 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.

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, CA30+ days ago

$139,900–$274,800 Per Year

Were 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 Microsofts developer-focused AI suite and drives product growth. 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).

Mountain View, CA13 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.

San Francisco, California26 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. 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.

menlo park, CA30+ days ago

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $182,000 - $254,100.Additionally, this role is eligible to participate in Snowflake's bonus and equity plan. AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

Pleasanton, CA30+ days ago

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.

San Francisco, California30+ days ago

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.

Menlo Park, CA30+ days ago

$156,000–$224,200 Per 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.

Sunnyvale, CA30+ days ago

$117,000–$234,000 Per 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.

New!

Sunnyvale, CA6 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).

San Francisco, CA30+ days ago

Remote

$179,500–$269,500 Per Year

Demonstrated ability to leverage modern AI tools and coding agents (e.g., LLM-based assistants, autonomous or semi-autonomous coding agents, model-driven feature generation, synthetic data generation) to accelerate research, prototyping, and productionization of models. Model human behavior using economics and AI: Apply economic theory, behavioral science, and machine learning to understand donor decision-making, estimate elasticity, and predict responses to changes in product design and choice architecture.

Mountain View, CA30+ days ago

$119,800–$234,700 Per Year

The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

cupertino, CA30+ days ago

$141,800–$258,600 Per Year

You will apply quantitative methods and statistical techniques to conduct exploratory data analysis, define new metrics, create compelling data visualizations, and develop analytical frameworks that translate raw data into actionable software development opportunities. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition.

Mountain View, CA30+ days ago

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. Proven experience architecting scalable data pipelines using distributed systems (e.g., PySpark/Spark SQL), orchestration frameworks (e.g., Airflow), and cloud platforms (e.g., AWS EMR, S3, Snowflake or equivalent).

Sunnyvale, California30+ days ago

As a Senior Systems Data Scientist on the Behavior Validation team within the Autonomous Vehicle (AV) organization, you will play a pivotal role in establishing pragmatic, data-backed methodologies for measuring trust and confidence in AV behavior validation results across both simulation and real-world road testing. Your expertise in data science and engineering will enable you to design and implement frameworks that correlate simulation and road-based outcomes, simplify complex analytical methods, and support production-ready analysis pipelines that inform AV launch and release decisions.

San Francisco, California21 days ago

Remote

What you'll work on: Partner with the payments team by translating the business needs to design and develop core tables, investigate product use, investigate how other payments products work onchain, and conduct research that will help us build the best products in class. If you are curious about data, love going deep on problems across product and modeling, enjoy deriving insights, love to dig deep, have experience improving data products, have experience in payments, and are motivated by impacting business, we want to hear from you.

Mountain View, CA20 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.

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

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.

Pleasanton, CA30+ days ago

$95,000–$130,000 Per Year

About the Ideal Candidate: You'll have: • A strong understanding of Data Science, including basic elements of machine learning, statistics, probability, and modeling • Strong experience with time series analysis and forecasting techniques (ARIMA, exponential smoothing, Prophet, LSTM, etc.) • A quantitative background with experience working with time series data and strong coding skills • Background in deep learning and neural network architectures for sequence modeling • Experience with Data Science programming languages: Python (required), R, Matlab • Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, with experience in at least one • Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection • 2+ years of experience in building machine learning models • Experience with cloud platforms (AWS, GCP, or Azure) • Strong written and verbal communications, ability to translate complex technical topics to stakeholders • Ability to form strong working relationships with team members, customers' technical teams, and executive leadership • Degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related field. You Will: • Build forecasting models for demand planning, power/price prediction, and supply chain optimization • Develop time series models using traditional methods (ARIMA, Prophet) and modern ML approaches (LSTM, Transformers) • Partner with project teams in developing and applying ML expertise to deliver customer solutions • Independently and effectively engage with external technical stakeholders and subject matter experts to understand and solve critical business problems through artificial intelligence • Design and deploy machine learning models for commercial and industrial applications, including anomaly detection, prescriptive maintenance, and optimization • Lead all phases of the data science process from data exploration, feature engineering, model training, testing, and deployment • Apply data mining techniques, statistical analysis, and build prediction systems • Create automated anomaly detection systems and track performance • Communicate complex technical topics to internal and external stakeholders.

New!

San Francisco, CA4 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. Deep Domain Expertise: Proven track record in financial industry fraud and/or risk modeling, ideally within subprime lending or high-volume payment environments.

San Bruno, CA7 days ago

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.

Livermore, CA30+ days ago

$146,340–$222,564 Per Year

Provide technical leadership and guidance to multiple diverse, technical teams of LLNL scientists and engineers to operationalize research and development advancements for LLNL national security programs, while executing projects and tasks and balancing priorities of customers and partners to ensure deadlines are met. Develop and apply data science and machine learning methods to characterize and assess energy infrastructure resilience under a range of disruptions, including natural hazards, extreme weather, infrastructure failures, and other stressors.

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.

Mountain View, CA30+ days ago

Strong SQL Python or Rfor statistical analysisHive, Presto, AirflowExperience with ML modeling design, deployment, and optimizationStrong statisticsbackgroundExperience in working on backend and ML systems for large-scale user-facing productsData visualization (e.g.,Tableau, Qlik, Looker, Power BI)Excellent quantitative analysis skillsStrong presentation and communication skillsHighly organized and detail-orientedAbility to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organizationPay & BenefitsOur compensation reflects the cost of living across several US geographic markets. Minimum QualificationsMaster's Degree in Computer Science, Electrical Engineering,Mathor a closely related field4 years of Data Scientist experience in customer-facing technology companiesExpertisein experimentation and statisticsPreferred QualificationsThe ideal candidate has 6+ years of experience as a data scientist performing ads data analysis, ML model building and optimization, financial analysis, market research, and executive reporting.

Sunnyvale, CA30+ days ago

$143,000–$286,000 Per 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.

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 Jose, California30+ days ago

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 Jose, CA30+ days ago

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.

Sunnyvale, CA30+ days ago

$117,000–$234,000 Per Year

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch). About the Team: The Personalization team consists of platform, application engineers, scientists, and product visionaries all working together to design, prototype, and build technology-driven products and experiences that will change the future landscape of ecommerce.

San Francisco, California30+ days ago

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 Mountain View, CA

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