3,871 Results for

Data Scientist Jobs in Sunnyvale, CA

Jobs

San Jose, CA30+ days ago

$179,900–$212,300 Per Year

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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.

San Francisco, CA30+ days ago

$149,200–$201,800 Per Year

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

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.

CA17 days ago

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

New!

Sunnyvale, CA2 days ago

$143,000–$286,000 Per Year

li>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.

Palo Alto, CA22 days ago

$79.21–$104.97 Per Hour

This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes.

Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner.

CA25 days ago

$128,000–$252,500 Per Year

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

San Francisco, CA30+ days ago

$128,000–$252,500 Per Year

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

San Jose, Washington10 days ago

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Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group Media Solutions, Expedia Local Expert®, CarRentals.com, and Expedia Cruises.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience.

CA23 days ago

$95,600–$188,400 Per Year

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

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.

CA30+ days ago

$139,900–$274,800 Per Year

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

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

CA30+ days ago

$119,800–$234,700 Per Year

p>Additional or preferred qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

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

CA17 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).

Mountain View, CA10 days ago

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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).

San Francisco, California30+ days ago

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

San Francisco, California30+ days ago

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

San Bruno, CA18 days ago

li>Position requires 3 years of experience in the following: Python or R for statistical analysis and data manipulation, Product analysis, including root cause analysis and quantitative assessment of critical user journeys, Translating open-ended business problems into structured analytical frameworks, Defining and rationalizing metrics to measure product success and business outcomes, Communicating quantitative insights to influence non-technical and senior leadership stakeholders.

Minimum qualifications:

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.

Mountain View, CA25 days ago

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

New!

San Francisco, CA3 days ago

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

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

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.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years'' experience in an analytics related field.

San Jose, CA25 days ago

$123,000–$290,000 Per Year

li>

Experience applying advanced machine learning, time series modeling, optimization, or AI techniques to Finance-related data, workflows, and business needs, including corporate finance, P&L, manufacturing cost data, forecasting, scenario modeling, driver analysis, or decision support.

Minimum Qualifications:

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine learning, or advanced analytics roles.

Sunnyvale, CA30+ days ago

$117,000–$234,000 Per Year

p>• 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.

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.

Sunnyvale, CA30+ days ago

$169,000–$338,000 Per Year

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

San Francisco, CA17 days ago

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

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

San Jose, CA17 days ago

Pair insights from quantitative and qualitative data to identify friction points for engineers, validate working hypotheses, measure what true mastery looks like for new in-flow experiences, and uncover new opportunities for engineering education. Our team is expanding our engineering footprint to develop agentic systems and personalized coaching agents directly into the tools engineers already use, like Jetski (Antigravity), Cider, Critique, and Buganizer.

Mountain View, CA30+ days ago

$119,800–$234,700 Per Year

p>Required Qualifications:

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

Preferred Qualifications:

• 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ • Committed organizational, analytical, data science skills • Ability to solve problems that the world has not solved before • Experience with real world system building and data collection, including design, coding and evaluation • Experience with driving large collaboration across multiple teams • Experience with communicating with different audiences to provide insights • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

San Francisco, CA30+ days ago

$180,000–$250,000 Per Year

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

San Francisco, California30+ days ago

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

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

Sunnyvale, CA18 days ago

$132,000–$286,000 Per Year

Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on.

Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.

Sunnyvale, CA30+ days ago

$143,000–$286,000 Per Year

p>As the Staff Data Scientist, you'll be responsible for the comprehensive implementation of Machine Learning algorithms and features, guiding a scrum team and working in synergy with a skilled team of Product Managers and Technologists to implement ML/AI solutions at scale.

Proficiency in Programming, SQL and Data Analysis: The candidate should be highly proficient in languages such as Java, Python, PySpark, and have experience with machine learning frameworks like Tensorflow and PyTorch.

Pleasanton, CA30+ days ago

p>Main responsibilities:

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

San Francisco, CA30+ days ago

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

San Francisco, CA30+ days ago

$204,000–$259,000 Per Year

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

San Francisco, CA15 days ago

$160,000–$225,000 Per Year

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

CCPA Notice at Collection for California Employees and Applicants:

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

CA17 days ago

p>The Workspace Collab Data Science team empowers product teams for Drive, Docs, Sheets, Slides, Vids (and more) through development of key metrics, data-driven insights, modeling, experimentation and other forms of causal inference to grow product adoption and AI usage.

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.

Palo Alto, CA12 days ago

$130,000–$165,000 Per Year

DELFI Diagnostics' platform relies on fragmentomics - the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments.

Doctoral degree in Computational Biology, Bioinformatics, Data Science, or a related field with 2+ years of industry experience; or, Master's with 3+ years of industry experience; or, Bachelor's with 5+ years of industry experience.

San Jose, California30+ days ago

p style="margin-bottom:6pt">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. Qualifications:

Benefits offered are described: AMD benefits at a glance.

San Jose, CA30+ days ago

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

Mountain View, CA17 days ago

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 work experience with a Master"s degree). Build evaluations and measurements to guide hillclimbing and iterative improvements, and automate these evaluations and measurements in partnership with Engineering and Product teams.

Mountain View, CA16 days ago

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.

Data scientists in our team bring scientific and statistical methods to bear on the issues of advertising product creation, development and improvement with a deep, data-driven appreciation for the behaviors of the end user and the ecosystem.

Redwood City, CA30+ days ago

Remote

p>You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook).

Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing ).

Sunnyvale, CA30+ days ago

$117,000–$234,000 Per Year

About Team Our team partners closely with retail and e-commerce business units to deliver innovative technology solutions that improve customer experiences across digital and in-store channels. 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.

San Francisco, CA30+ days ago

$164,428–$287,749 Per Year

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

San Francisco, California30+ days ago

Act as a technical partner to Product, Growth, and Commercial teams to design and implement data science solutions accelerating revenue and improving commercial outcomes.

San Francisco, CA30+ days ago

$137,500–$170,000 Per Year

Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. As a Senior Data Scientist on the Marketplace Product team, you will collaborate closely with diverse teams (including product managers, engineers, and fellow data scientists) to advance our understanding of the customer, make predictions to improve our products and experiences, and design and measure experiments.

Pleasanton, 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.

Fremont, CA30+ days ago

$126,000–$179,300 Per Year

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

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Data Scientist Jobs in Sunnyvale, CA

Senior Data Scientist Roku Inc

Data Scientist Dropbox Inc

Senior Data Scientist, Ads Reddit Inc

Staff Data Scientist, Discover Personalization and Quality Google LLC

(USA) Principal, Data Scientist Walmart Inc

Data Scientist - AI/ML Stanford Health Care

Senior Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior Data Scientist - SFL Scientific Deloitte Touche Tohmatsu Ltd

Sr. Data Scientist - Advertising Technology Expedia

Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior, Data Scientist Walmart Inc

Principal Data Scientist Microsoft Corp

Senior Data Scientist Microsoft Corp

Staff Product Data Scientist, Workspace Monetization Google LLC

Senior Product Data Scientist, Consumer Shopping Google LLC

Staff Data Scientist, Growth Analytics Airwallex

Senior Data Scientist Hinge Health

Data Scientist Google LLC

Product Data Scientist, Discover Experience Google LLC

Data Scientist Common Sense Media, Inc.

(USA) Staff, Data Scientist Walmart Inc

Staff Data Scientist Micron Technology Inc

Senior, Data Scientist (Personalization) Walmart Inc

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

Distinguished, Data Scientist Walmart Inc

Senior Product Data Scientist MaintainX, Inc.

Product Data Scientist, engEDU Google LLC

Senior Data Scientist - Microsoft Advertising Microsoft Corp

Staff Data Scientist, Credit Strategy Mulligan Funding LLC

Staff Data Scientist, Clinical Performance Pearl Health

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

Staff, Data Scientist Walmart Inc

Lead Data Scientist Albertsons Companies Inc

Data Scientist Prior Labs GmbH

Senior Data Scientist Waymo LLC

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

Staff Product Data Scientist, Workspace Collab Google LLC

Energy Resilience Data Scientist Lawrence Livermore National Laboratory

Senior Data Scientist, Computational Biology Delfi Diagnostics Inc

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

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

Senior Data Scientist, Product, AI Context Engineering Google LLC

Senior Research Data Scientist Google LLC

Senior Data Scientist Rundoo Inc

Senior Data Scientist Walmart Inc

Sr. Data Scientist, Monetization Pinterest Inc

Staff Data Scientist, GTM Airwallex

Senior Data Scientist, Marketplace Product Shipt Inc

Principal Data Scientist : Product to Market (P2M) Optimization The Gap Inc

Data Scientist - Predictive Analytics, Senior PG&E Corp

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