4,969 Results for

Data Scientist Jobs in Belmont, CA

Jobs

San Francisco, CA

This involves activities including market sizing, working with your counterparts from across the globe to build an opportunity pipeline, working with customers to understand technical requirements, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners. You will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, representing your team to executive management and working directly with AWS's top customers.

30+ 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.

18 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.

21 days ago

$119,800–$234,700 / year

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). You will partner with Plan design, Plan Implementation, Finance, Quota, Engineering and Business stakeholders to design solutions to drive efficiency, build machine learning solutions and AI agents, and deliver insights that improve compensation planning and implementation and drive operational efficiencies and seller outcomes.

5 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

$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

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

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.

9 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

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.

30 days ago

Mountain View, CA

$119,800–$234,700 / year

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

30+ days ago

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

30 days ago

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.

9 days ago

Palo Alto, CA

$130,000–$165,000 / year

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

25 days ago

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.

28 days ago

Sunnyvale, CA

$143,000–$286,000 / year

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

15 days ago

Redwood City, CA

Remote

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

30+ days ago

Mountain View, CA

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

8 days ago

$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

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

Palo Alto, CA

$79.21–$104.97 / hour

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

30+ days ago

Mountain View, CA

$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

Oakland, CA

Job Summary : We are seeking an experienced Principal Data Scientist to design and develop predictive machine learning models, analyze large datasets, and deliver data-driven solutions that support business decisions. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].

4 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/).

25 days ago

Pleasanton, CA

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

30+ days ago

San Francisco, CA

Remote

$195,000–$257,500 / year

What you'll be responsible for: As a Staff Data Scientist at Circle, you'll work closely with business partners to better understand our products, building measurement frameworks for digital assets products, leveraging data to find opportunities in digital assets product offerings, and enabling better decision-making with data. Partner with the Digital Assets, Finance, Treasury, and Risk teams by translating the business needs to design and develop core tables, investigate product use, investigate how other Digital Assets products work onchain, and conduct research that will help us build the best-in-class products.

17 days ago

Sunnyvale, CA

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

1 day ago

Menlo Park, CA

$156,000–$224,200 / year

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

30+ days ago

San Mateo, CA

$170,000–$210,000 / year

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

13 days ago

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.

28 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).

30 days ago

Sunnyvale, CA

$117,000–$234,000 / year

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

30+ days ago

San Jose, CA

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

30+ days ago

San Jose, California

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

30+ days ago

San Francisco, CA

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.

16 days ago

Mountain View, CA

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

10 days ago

Mountain View, CA

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

23 days ago

San Francisco, CA

Remote

$179,500–$269,500 / 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.

30+ days ago

$119,800–$234,700 / 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.

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

Mountain View, CA

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

8 days ago

San Bruno, CA

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

30+ days ago

Sunnyvale, California

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.

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

Pleasanton, CA

$95,000–$130,000 / 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.

30+ days ago

Sunnyvale, CA

$143,000–$286,000 / year

The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.

30+ days ago

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

Mountain View, CA

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

10 days ago

Mountain View, CA

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

2 days ago

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Data Scientist Jobs in Belmont, CA

Sr Worldwide Specialist - GenAI, Amazon Bedrock, Data & AI GTM Amazon Web Services, Inc.

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Data Scientist, Technical Lead Voleon Capital Management Lp

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Senior Product Data Scientist MaintainX, Inc.

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Staff Data Scientist, Discover Personalization and Quality Google LLC

Lead Data Scientist Bridge It Inc

Senior Data Scientist, Computational Biology Delfi Diagnostics Inc

Data Scientist / Senior Data Scientist Berkshire Hathaway Specialty Insurance Co

(USA) Principal, Data Scientist Walmart Inc

Senior Data Scientist Rundoo Inc

Staff Product Data Scientist Manager, Search Ads Google LLC

Senior Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior Data Scientist - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior Data Scientist Hinge Health

Data Scientist - AI/ML Stanford Health Care

Principal Data Scientist - CoreAI Microsoft

Data Scientist, Principal Sunrise Systems Inc

Lead Insurance Data Scientist Edgewood Partners Insurance Center

Data Scientist, Digital Product Analytics The Gap Inc

Staff Data Scientist - Digital Assets Circle Internet Financial LLC

Product Data Scientist, Operations Google LLC

Senior Data Scientist Snowflake Inc

Senior Data Scientist Fanatics Inc

Staff Data Scientist, Risk and Fraud Varo Bank, N.A.

Staff Product Data Scientist, Workspace Monetization Google LLC

Senior, Data Scientist Walmart Inc

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

Data Scientist Common Sense Media, Inc.

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Senior Product Data Scientist, Consumer Shopping Google LLC

Staff Data Scientist, Pricing GoFundMe, Inc.

Senior Applied Data Scientist Microsoft Corp

Sr. Data Scientist, Monetization Pinterest Inc

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Data Scientist Google LLC

Senior Systems Data Scientist, Behavior Validation GM

Staff Data Scientist, Growth Analytics Airwallex

Data Scientist Avathon

(USA) Staff, Data Scientist Walmart Inc

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