5,714 Results for

Data Scientist Jobs in Redwood City, CA

Jobs

New!

South San Francisco, CA4 days ago

$79–$79.96 Per Hour

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

Santa Clara, CA7 days ago

Remote

$82,000–$136,000 Per Year
Full-time

Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

San Jose, CA27 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.

New!

Alameda, CA5 days ago

$50–$55 Per Hour

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

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

New!

Cupertino, CA4 days ago

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Client Music is looking for an Artist Curation Operations Lead to drive the quality, accuracy, and scalability of the artist catalog data that powers artist pages, artist bios, artist images, artist concerts, and the growing set of features that depend on clean, trustworthy artist data. What You'll Do:

Lead artist curation operations end-to-end — covering artist pages, bios, images, disambiguation, and the expanding surface area of artist-facing data — and serve as the primary operational owner and escalation point for vendor teams raising curation questions.

Santa Clara, CA10 days ago

$82,000–$136,000 Per 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.

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

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

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

Berkeley, California30+ days ago

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

San Francisco, CA30+ days ago

$149,200–$201,800 Per Year

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

CA19 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.

San Ramon, CA17 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.

New!

Sunnyvale, CA4 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, CA24 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.

CA27 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, Washington12 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.

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.

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.

CA25 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.

CA19 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, CA12 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 Bruno, CA20 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, CA27 days ago

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

San 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.

CA30+ days ago

p>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.

San Francisco, CA19 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.

New!

San Francisco, CA5 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.

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.

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, California30+ days ago

Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics.

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 Jose, CA27 days ago

$123,000–$290,000 Per Year

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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.

San Jose, CA19 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.

Palo Alto, CA14 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.

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.

Sunnyvale, CA20 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.

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.

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.

CA19 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.

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.

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 ).

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.

Oakland, CA30+ days ago

$140,000–$207,900 Per Year

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

San Francisco, CA30+ days ago

$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.

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.

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.

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Data Scientist Jobs in Redwood City, CA

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