Senior Data Science Engineer Jobs in California
Senior Data Science Engineer jobs in California represent one of the most active markets in the country, concentrated in technology, healthcare, fintech, and entertainment sectors, with demand stretching from junior analysts through principal-level engineers. The largest hiring metros are San Francisco, Los Angeles, and San Diego, where companies like Google, Meta, and Kaiser Permanente maintain deep and ongoing data science teams. The most sought-after specializations in California right now are machine learning infrastructure, MLOps, and large language model deployment. Find a role that fits below and apply directly.
Find JobsOverview
Open roles117+
Top employerTikTok
Top citySan Francisco, CA
Cities hiring29
Work type46% On-site
Top industryTechnology
Showing 5 of 117+ Senior Data Science Engineer jobs
Director, Data Science - New Revenue Bets
We won't show you this job again
Added 1d ago
Meta
Director, Data Science - New Revenue Bets
San Francisco, California
Added 1d ago
M
Data Science Engineer II
We won't show you this job again
M
Added 1d ago
MiniMed
Data Science Engineer II
Northridge, California
Added 1d ago
Head of Data Science, Strategic Finance
We won't show you this job again
Added 2d ago
OpenAI
Head of Data Science, Strategic Finance
San Francisco, California
Added 2d ago
Data Science Director - Infrastructure Data Center Analytics
We won't show you this job again
Added 2d ago
Meta
Data Science Director - Infrastructure Data Center Analytics
Menlo Park, California
Added 2d ago
Data Science Intern (Summer 2027)
We won't show you this job again
Added 3d ago
Robinhood
Data Science Intern (Summer 2027)
Menlo Park, California
Added 3d ago
Added 1d ago
Director, Data Science - New Revenue Bets
Meta·San Francisco, California
Job functions:
$253k - $314k/yr
Doctoral degree in statistics
10,000+ employees
Job Description
We're looking for a experienced Data Scientist who can serve as a product analytics leader and strategic generalist across the CP - New Revenue Bets org. This role is designed for someone who combines deep analytical rigor with strong product sense - someone who can step into any pillar (Subscriptions, BizAI, or XF APAC) and quickly add leverage where the team needs it most.You'll operate with significant autonomy, partnering directly with VPs and cross-functional leaders at the most senior levels of company leadership to shape strategy and unblock critical workstreams. You'll be the analytical connective tissue across our pillars - building bridges between teams, synthesizing insights across workstreams, and ensuring our bets are informed by the rigorous data-driven perspective.
Director, Data Science - New Revenue Bets Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director, Data Science - New Revenue Bets Responsibilities:
- Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
- Work directly with VPs and senior cross-functional leaders across the company
- synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
- Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
- make ambiguity tractable for emerging business models
- Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
- Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
- Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
- Serve as a unifying analytical voice across multiple teams and workstreams
- identify shared challenges, propagate learnings, and ensure teams are building on each other's work
- Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products
- propagate learnings across the org and beyond
- Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
- Redesign analytical workflows to leverage AI/ML tools and agents at scale
- model how ICs should integrate AI as a force multiplier
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in data science, analytics, or a quantitative field
- Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline
- Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
- Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
- Track record of setting direction on company-critical problems and influencing cross-org strategy
- Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
- Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
- Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership
Preferred Qualifications:
- Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Background in AI product measurement or AI agent evaluation frameworks
- International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
- Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta
Director, Data Science - New Revenue Bets
San Francisco, California
Added 1d ago10,000+ employees
Job functions:
$253k - $314k/yr
Doctoral degree in statistics
Job Description
We're looking for a experienced Data Scientist who can serve as a product analytics leader and strategic generalist across the CP - New Revenue Bets org. This role is designed for someone who combines deep analytical rigor with strong product sense - someone who can step into any pillar (Subscriptions, BizAI, or XF APAC) and quickly add leverage where the team needs it most.You'll operate with significant autonomy, partnering directly with VPs and cross-functional leaders at the most senior levels of company leadership to shape strategy and unblock critical workstreams. You'll be the analytical connective tissue across our pillars - building bridges between teams, synthesizing insights across workstreams, and ensuring our bets are informed by the rigorous data-driven perspective.
Director, Data Science - New Revenue Bets Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director, Data Science - New Revenue Bets Responsibilities:
- Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
- Work directly with VPs and senior cross-functional leaders across the company
- synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
- Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
- make ambiguity tractable for emerging business models
- Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
- Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
- Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
- Serve as a unifying analytical voice across multiple teams and workstreams
- identify shared challenges, propagate learnings, and ensure teams are building on each other's work
- Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products
- propagate learnings across the org and beyond
- Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
- Redesign analytical workflows to leverage AI/ML tools and agents at scale
- model how ICs should integrate AI as a force multiplier
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in data science, analytics, or a quantitative field
- Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline
- Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
- Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
- Track record of setting direction on company-critical problems and influencing cross-org strategy
- Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
- Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
- Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership
Preferred Qualifications:
- Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Background in AI product measurement or AI agent evaluation frameworks
- International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
- Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 117+ Senior Data Science Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsSenior Data Science Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
San Diego
10 jobsSunnyvale
6 jobsLos Angeles
6 jobsMountain View
6 jobsMenlo Park
5 jobsSouth San Francisco
4 jobsIrvine
3 jobsPalo Alto
3 jobsSan Mateo
3 jobsRedwood City
3 jobsAlameda
2 jobsBerkeley
2 jobsStanford
2 jobsLivermore
2 jobsSacramento
2 jobsSan Francisco Bay Area
2 jobsOntario
1 jobLoma Linda
1 jobNorthridge
1 jobSusanville
1 jobCulver City
1 jobFoster City
1 jobPlaya Vista
1 jobSanta Clara
1 jobBeverly Hills
1 jobThousand Oaks
1 jobSan Francisco County
1 jobSenior Data Science Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software12
- Education4
- Banking & Financial Services2
- Biotechnology & Pharmaceuticals2
- Consulting & Professional Services2
What California Employers Look For
The qualifications that appear most often in senior data science engineer jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of experience in data science, machine learning, or data engineering
- Proficiency in Python and SQL with demonstrated production-level modeling experience
- Experience designing and deploying ML pipelines in cloud environments such as AWS or GCP
- Strong background in statistical modeling, experimentation, and A/B testing methodologies
- Ability to communicate complex findings clearly to both technical and non-technical stakeholders
Senior Data Science Engineer Jobs in California: Frequently Asked Questions
How do you become a senior data science engineer in California?
The path to a senior data science engineer role in California typically starts with a bachelor's or master's degree in computer science, statistics, mathematics, or a related field. California has no state-issued license or registration required for this role. Employers in California's tech and healthcare sectors look for candidates with a portfolio of deployed models, experience with large-scale data systems, and several years in progressively complex data or engineering roles before reaching senior level.
How much do senior data science engineers make in California?
Senior data science engineers in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior data science engineers in California?
Employers hiring senior data science engineers in California right now include TikTok, Intuit, and Meta, based on current listings on Migrate Mate as of October 2026. California's dense concentration of technology headquarters, health systems, and financial services firms means hiring is distributed across the state rather than limited to a single industry cluster.
Which California cities have the most senior data science engineer jobs?
San Francisco, San Jose, and San Diego have the most senior data science engineer openings in California. The San Francisco Bay Area leads because of the concentration of major technology headquarters and venture-backed startups there, while Los Angeles draws demand from entertainment technology, e-commerce, and healthcare analytics firms, and San Diego's biotech and defense industries sustain a steady base of openings.
Are there remote senior data science engineer jobs in California?
Yes, and more than most fields. Senior data science engineering is well suited to remote and hybrid arrangements because the work centers on code, data pipelines, and analysis rather than physical presence. About 54% of senior data science engineer openings tied to California are remote or hybrid as of October 2026. The roles most commonly offered remotely are those focused on modeling, experimentation, and analytics, while positions involving on-site infrastructure or close cross-functional collaboration tend to require some in-office time.
How can I get hired as a senior data science engineer in California with little or no experience?
The most realistic entry path is building a portfolio of end-to-end projects that demonstrate modeling, data wrangling, and deployment skills, then targeting associate data scientist or data engineer roles at California employers. Large California-based technology companies and health systems run structured new-grad programs and rotational analyst tracks that feed into senior pipelines over time. Adjacent roles such as data analyst, business intelligence engineer, or machine learning researcher are common lateral entry points. Earning a cloud certification or completing a graduate program at a California university strengthens early-career applications considerably.
Where can I find and apply to senior data science engineer jobs in California?
You can find and apply to senior data science engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your experience and location, then apply directly to the employer through each listing.
See All 117+ Senior Data Science Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsRelated Jobs in California
Data Governance Manager JobsCalifornia
Vice President Sales JobsCalifornia
Network Systems Engineer JobsCalifornia
Transmission Line Engineering JobsCalifornia
ERP Analyst JobsCalifornia
Senior Asic Design Engineer JobsCalifornia
Public Policy Manager JobsCalifornia
Quantitative Analyst JobsCalifornia
Change Management Consultant JobsCalifornia