Data Science Manager Jobs in San Francisco, CA
Data Science Manager jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, across technology, fintech, and healthcare analytics, with steady demand from growth-stage startups and established platforms alike. Employers actively hiring include Lyft, Meta, and SIA. Scan the live roles below and apply to whichever ones fit.
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Data Science Director Responsibilities:
- Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
- Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
- Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
- Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
Minimum Qualifications:
- 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
- Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
- Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
- Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
- Experience working effectively with multiple stakeholders and cross-functionally.
- Effective communication skills.
Preferred Qualifications:
- Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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 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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Find Data Science Manager JobsData Science Manager Job Market in San Francisco
Who's Hiring
- Lyft14

- Meta9

- SIA5

- oura5

- Amgen5

Top Industries Hiring
- Technology & Software19
- Education5
- Distribution & Wholesale5
- Banking & Financial Services5
Data Science Manager Jobs in San Francisco: Frequently Asked Questions
How do I get a data science manager job in San Francisco?
Candidates who stand out in San Francisco combine strong leadership of ML or analytics teams with experience in high-growth product or platform environments. The heaviest hiring happens in SoMa and Mission Bay, where fintech, health tech, and AI-first companies cluster. Demonstrating experience with end-to-end model deployment, cross-functional stakeholder alignment, and team scaling gives applicants a clear edge over candidates with purely technical profiles.
Which companies hire data science managers in San Francisco?
San Francisco data science manager roles are posted by Lyft, Meta, and SIA and others right now, based on current listings on Migrate Mate as of November 2026. The hiring base is broad, ranging from late-stage consumer tech companies to regulated fintech platforms and health analytics firms with offices concentrated downtown and in Mission Bay.
Are there remote data science manager jobs in San Francisco?
Yes, though data science manager roles lean toward hybrid given the team oversight and stakeholder collaboration involved. About 77% of data science manager openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the flexibility common in the city's tech sector. Strategic and analytical responsibilities, such as roadmap planning and model review, are most often handled remotely.
How can I get a data science manager job in San Francisco with little or no experience?
The most realistic entry path is moving into a team-lead or senior individual contributor role at a mid-size San Francisco startup, where management responsibilities often expand organically. Health tech and fintech companies in Mission Bay and the Financial District regularly promote strong senior analysts or ML engineers into manager roles. Building a visible record of mentoring, project ownership, and cross-team communication accelerates that transition locally.
Which industries hire the most data science managers in San Francisco?
San Francisco data science manager roles concentrate in Technology & Software, Education, and Distribution & Wholesale, based on current listings on Migrate Mate as of November 2026. San Francisco's density of venture-backed technology companies, established financial services firms, and life sciences platforms creates sustained demand for managers who can lead data teams across fast-moving, data-intensive products.
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