Top 190 Data science manager Jobs in San Ramon, Ca

Manager, Data Science
Whatnot —San Francisco, CA
- $221,000 - $320,000 a year
- Full-time
- Remote
- Analysis skills
- Senior level
- Leadership
- Paid parental leave
- Health insurance
Data Science and Business Analytics Manager
Abbott Laboratories —Alameda, CA
- $114,000 - $228,000 a year
- Full-time
- Office
- SQL
- Bachelor's degree
- Health insurance
- Tuition reimbursement
Senior Manager, Analytics (Dublin, CA)
SavvyMoney —Dublin, CA
- $165,000 - $180,000 a year
- Full-time
- Hybrid work
- 3 years
- Master's degree
- SQL
- Disability insurance
- Health insurance
Sr. Manager, Loyalty Analytics
Albertsons Companies —Pleasanton, CA
- $125,000 - $160,000 a year
- Full-time
- Merchandising
- Office
- 3 years
- Paid holidays
- Disability insurance
Quick Apply
Sr. Manager, People Data Science
Adobe —San Francisco, CA
- $161,700 - $303,300 a year
- Full-time
- Management
- SQL
- Mentoring
Sr. Manager, Data Science
Visa U.S.A. Inc. —Foster City, CA
- $180,600 - $289,300 a year
- Full-time
- 11+ years
- Office
- SQL
- Wellness program
- Health savings account
8d
Data Engineering Manager, Product
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Office
- 8 years
- SQL
- Parental leave
- Flexible schedule
Manager of Analytics
Rodan and Fields Beauty, LLC —San Ramon, CA
- $91,200 - $148,000 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Master's degree
Senior Manager, Data Science - Styling Algorithms
Stitch Fix —San Francisco, CA
- $200,000 - $246,000 a year
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Sr Store Analytics Manager
Tailored Shared Services, LLC —Dublin, CA
- $122,700 - $188,000 a year
- Full-time
- Remote
- SQL
- Analysis skills
- Bachelor's degree
- Store discount
- Paid jury duty
Lead Marketing Science Analyst - Retail Media
Albertsons Media Collective —Pleasanton, CA
- $95,400 - $123,900 a year
- Full-time
- Hybrid work
- 5 years
- Office
- SQL
- Paid holidays
- Disability insurance
Quick Apply
12d
Deal Data Technology & Analytics, Manager
PRICE WATERHOUSE COOPERS —San Francisco, CA
- $99,000 - $232,000 a year
- Azure
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Lead Insurance Data Scientist
EPIC Brokers —San Ramon, CA
- $100 an hour
- Hybrid work
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays
Quick Apply
Data Science Manager, Integrity
OpenAI —San Francisco, CA
- $255,000 - $490,000 a year
- Full-time
- Management
- Office
- Mentoring
Senior Data Science Manager - Marketing Science
PrizePicks —San Francisco, CA
- $180,000 - $210,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- Master's degree
- Paid parental leave
- Disability insurance
Quick Apply
Senior Manager, Data Science
Electronic Arts —Redwood City, CA
- $165,000 - $256,000 a year
- Full-time
- Management
- SQL
- Fair chance
- Paid holidays
- Disability insurance
9d
Sr. Global Supply Manager
Lucid Motors —Newark, CA
- $121,900 - $167,640 a year
- Computer Science
- 5 years
- Office
- Paid holidays
- Disability insurance
6h
Senior Manager - Content Personalization
Sony Interactive Entertainment —San Mateo, CA
- $175,800 - $263,600 a year
- Remote
- Marketing
- 11+ years
- Analysis skills
- Wellness program
- Health insurance
Sr Manager, Data Factory Operation
Faraday Future —Fremont, CA
- $180,000 - $200,000 a year
- Computer Science
- Master's degree
- Travel
- Health insurance
- Dental insurance
Data Scientist Manager, Engineering
Wing —San Francisco, CA
- $228,000 - $242,000 a year
- Hybrid work
- Computer science
- Management
- Computer Science

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data science manager jobs near san ramon, ca

Manager, Data Science

Whatnot -
San Francisco, CA

Apply Now

Job Details

Full-time
$221,000 - $320,000 a year

Benefits

Internet reimbursement
Paid parental leave
Health insurance
Dental insurance
Cell phone reimbursement
Adoption assistance
Pension plan
Work from home
Parental leave
Vision insurance

Qualifications

Stakeholder relationship building
Stakeholder management

Full Job Description

Join the Future of Commerce with Whatnot!

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.

As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.

Join the Future of Commerce with Whatnot!

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.

From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.

And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.

Role

We’re looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you’ll own measurement, experimentation, and analytical strategy across some of our most important growth, discovery, and ecosystem questions, helping drive durable, profitable GMV across the marketplace.

This is a hands-on leadership role. You’ll manage and develop a strong team of data scientists while also staying close to the work yourself—shaping methodology, raising the quality bar, and helping the company make better product and investment decisions. Depending on business needs and candidate fit, this role may support buyer or seller domains.

Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health
Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms
Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation
Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex marketplace and growth problems
Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs
Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace
Improve how teams use data by building scalable frameworks, self-serve analytics, and high-quality analytical assets
Help your team adopt modern tooling, including AI-enabled workflows, to improve speed, leverage, and decision-making
Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the business grows
Nice to have:
- Experience in marketplaces, two-sided platforms, or live/social consumer products
- Experience with incentives, pricing, LTV, ads, marketplace health, or ecosystem economics
- Background in ranking, recommendations, personalization, or growth experimentation
- Experience building approaches, tools, or methodologies that scaled beyond your immediate team

We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, San Francisco or Los Angeles hub.

You

People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.

7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field
2+ years of experience managing or tech-leading high-performing data scientists or quantitative teams
Strong hands-on foundation in analytics, experimentation, causal reasoning, and statistical methodology
Experience supporting consumer product, growth, marketplace, monetization, or ecosystem-focused teams
Track record of building measurement systems and analytical frameworks that improve decision quality
Strong product and business judgment, with the ability to connect detailed analysis to broader company outcomes
Ability to operate effectively in ambiguity and adapt quickly as priorities evolve
Strong communication and stakeholder management skills, including experience working cross-functionally with senior partners
Track record of coaching and developing strong individual contributors
Enthusiasm for modern data tooling and AI-enabled workflows that improve team productivity

Benefits

Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
- Home office setup allowance
- Monthly allowance for cell phone and internet
Care benefits
- Monthly allowance for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
- All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
Parental Leave
- 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

EOE

Compensation Range: $221K - $320K

Apply Now

Refine Your Search

data science manager jobs in san ramon, ca

Manager, Data Science

Data Science and Business Analytics Manager

Senior Manager, Analytics (Dublin, CA)

Sr. Manager, Loyalty Analytics

Sr. Manager, People Data Science

Sr. Manager, Data Science

Data Engineering Manager, Product

Manager of Analytics

Senior Manager, Data Science - Styling Algorithms

Sr Store Analytics Manager

Lead Marketing Science Analyst - Retail Media

Deal Data Technology & Analytics, Manager

Lead Insurance Data Scientist

Data Science Manager, Integrity

Senior Data Science Manager - Marketing Science

Senior Manager, Data Science

Sr. Global Supply Manager

Senior Manager - Content Personalization

Sr Manager, Data Factory Operation

Data Scientist Manager, Engineering

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