Data Science Director Jobs in San Francisco, CA

Data Science Director jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, where technology platforms, financial services firms, and life sciences companies generate strong and consistent demand for senior data leaders. Employers hiring right now include Lyft, SIA, and University of California - San Francisco. Scan the live roles below and apply to whichever ones fit.

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Overview

Open roles117+

Top employerLyft

Work type55% Hybrid

Top credentialAssociate's

Companies hiring19

Showing 5 of 117+ Data Science Director jobs

Director, Data Science - New Revenue Bets

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Added 1d ago

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.

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.

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Data Science Director Job Market in San Francisco

Who's Hiring

Lyft15
SIA10
University of California - San Francisco10
Meta5
Amgen5

Top Industries Hiring

Technology & Software20
Education5
Distribution & Wholesale5
Banking & Financial Services5

Other California Cities Hiring Data Science Directors

Other cities in California with the most openings

See all Data Science Director jobs across California

San Jose

22 jobs

San Diego

10 jobs

Los Angeles

6 jobs

Mountain View

6 jobs

Sunnyvale

5 jobs

Menlo Park

5 jobs

South San Francisco

4 jobs

Irvine

3 jobs

Palo Alto

3 jobs

Data Science Director Jobs in San Francisco: Frequently Asked Questions

How do I get a data science director job in San Francisco?

Focus your search on San Francisco's technology platforms, fintech firms, and biotech companies in Mission Bay and SoMa, where demand for senior data leaders is heaviest. Employers here favor candidates with demonstrated experience leading cross-functional data teams, a record of translating model output into product or revenue decisions, and familiarity with the fast iteration cycles common in San Francisco's product-driven companies. Prior work at a recognizable Bay Area employer helps significantly.

Which companies hire data science directors in San Francisco?

San Francisco data science director roles are posted by Lyft, SIA, and University of California - San Francisco and others right now, based on current listings on Migrate Mate as of October 2026. San Francisco's hiring pool is especially deep among consumer technology platforms, enterprise software companies, and growth-stage startups backed by prominent venture firms headquartered in the city.

Are there remote data science director jobs in San Francisco?

Yes, though remote availability is more common for directors whose work centers on modeling, analytics strategy, and stakeholder reporting than for those overseeing embedded engineering or lab-adjacent teams. About 73% of data science director openings tied to San Francisco are remote or hybrid as of October 2026, reflecting the analytical nature of most roles here. Strategy-heavy and product-analytics-focused positions tend to offer the most location flexibility.

How can I get a data science director job in San Francisco with little or no experience?

The most realistic path is moving into a senior individual contributor role at a mid-size San Francisco technology or fintech company first, then building into people management from within. Growth-stage startups in SoMa and the Financial District frequently promote strong senior data scientists into director-level roles faster than large established employers. Demonstrating ownership of a data initiative end-to-end, even on a small team, matters more than tenure to many San Francisco hiring managers.

Which industries hire the most data science directors in San Francisco?

Most data science director openings in San Francisco sit in Technology & Software, Education, and Distribution & Wholesale, per current listings on Migrate Mate as of October 2026. San Francisco's concentration of consumer technology platforms, payments and fintech companies, and a growing Mission Bay biotech corridor creates sustained demand for senior data leadership across all three sectors.

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See All 117+ Data Science Director Jobs in San Francisco

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