500+ Data & Analytics Jobs in San Francisco, CA

Observed government wage data for data scientists in the metro put median pay at $170,110 in May 2025, with the 25th percentile at $130,430 and the 75th percentile at $212,970. Proxy signals are somewhat higher for current openings: local posted ranges center on about $171k to $236k, AI/ML engineer starting salaries are projected around $180,900 to $260,888, and a recent Genentech senior data scientist posting showed $177,310 to $329,290.

Full August 2026 market report

Advertised pay

Across the 427 openings that disclose pay, the advertised range midpoint runs $159,000 at the 25th percentile, $195,000 at the median and $238,125 at the 75th. These are advertised ranges, not earned pay.

Active openings as of September 25, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 250+ openings.

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What our analysts see this month

Competitive market | next 3-6 months

San Francisco still offers real volume and very strong pay for Data, Analytics & AI, with more than 750 postings across more than 450 companies in the last 90 days and local posted salary ranges centered on about $171k to $236k. But it is a competitive market, not an easy one: the metro ranks 509th out of 800+ areas on labor-market tightness, local openings skew mid-to-senior, and the typical active posting has been open around 46 days. At the statewide occupation level, postings are up 24.4% year-over-year while employment is essentially flat, which usually means visible demand but cautious actual headcount growth.

Best positioned: Candidates with proven Python and SQL, plus either product experimentation or applied ML, have the best odds right now—especially if they can pitch themselves to South San Francisco biotech teams or AI-first employers.

Main caution: Do not confuse high salary headlines with broad access: only about 10% of sampled openings are entry level, and only about 15% of postings that mention policy say visa sponsorship is available.

From the August 2026 market report

Who is hiring here

Counted across all 545 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Harmonic: 11 open roles
2. Waymo LLC: 9 open roles
3. UCSF Health, AG: 8 open roles
4. Atlassian Corp.: 7 open roles
5. PySpark: 7 open roles
6. Intuit, Inc.: 6 open roles
7. Roblox Corporation: 6 open roles
8. Cognizant Technology Solutions Corporation: 5 open roles
9. Latitude: 5 open roles
10. Nubeero Limited: 5 open roles

Where the openings are

• San Francisco: 416
• San Mateo: 31
• Oakland: 15
• South San Francisco: 13
• Foster City: 11
• Redwood City: 10
• Emeryville: 5
• Berkeley: 5

Work arrangement

on-site 243 (46%), hybrid 229 (43%), remote 58 (11%)

Where the demand is

Opportunity is not evenly distributed. In the recent local posting sample, software development accounts for about 35% of postings, broader technology about 25%, and financial services about 10%, while hiring is fragmented across employers rather than dominated by one firm. The most consistently active employers include Applied Methods Ltd, OpenAI Foundation, Anthropic Limited, Genentech, and Chime Enterprise. A second concentration sits in South San Francisco biotech and computational biology. Genentech posted a Senior Data Scientist, Gen AI Foundation role at $177,310 to $329,290 and later a Head, Innovation Accelerator Data Science role, while Merck and Amgen also advertised South San Francisco data-science openings in quantitative biosciences and PKDM-BA. Product analytics is another clear pocket: Paraform advertised a Senior Data Scientist – Product role, and local skill demand includes causal inference and A/B testing at about 10% each.

• Applied AI and ML at AI labs and startups (high): Bay Area AI capital stayed unusually concentrated, with about $16.89 billion raised across 87 funding rounds in July 2026, and OpenAI doubled its in-house startup fund to $400 million in August 2026.
• Product analytics and experimentation (high): Product-facing demand shows up in Paraform's Senior Data Scientist – Product role, and local postings mention causal inference and A/B testing at about 10% each.
• Biotech and quantitative biosciences (high): Genentech, Merck, and Amgen all posted South San Francisco data-science roles in August 2026, including Genentech's $177,310 to $329,290 Senior Data Scientist, Gen AI Foundation opening.
• Generalist data analyst roles (limited): There is still pay upside, but access is narrower because only about 10% of sampled roles are entry level and the metro ranks 509th out of 800+ on labor-market tightness.

Where to focus: If you can choose one lane, focus first on product analytics or applied AI roles where you can show Python, SQL, and either experimentation or ML depth, while keeping South San Francisco biotech as a parallel track if you have life-science context.

Roles worth searching next

• Product Manager, Growth or Experimentation: Local product-facing analytics demand shows up in Paraform's Senior Data Scientist – Product role and in demand for causal inference and A/B testing.
• Strategy and Operations Analyst or Manager: Software, tech, and financial services dominate much of the local demand mix, so KPI, forecasting, and decision-support work can transfer into BizOps paths.
• Bioinformatics Scientist or Computational Biology Scientist: South San Francisco employers are actively hiring quantitative biosciences and PKDM-focused roles alongside data-science openings.
• Risk or Fraud Strategy Analyst: Financial services represent about 10% of sampled local demand, and Python plus SQL transfer well into decisioning, fraud, and risk workflows.

What postings ask for

• Python (table_stakes | immediate): Python appears in about 70% of local postings, making it the clearest screen-in skill in this market. Who: Everyone in the category, especially entry-level candidates who need a baseline signal.
• SQL (table_stakes | immediate): SQL shows up in about 45% of local postings and is still the core language of analytics credibility. Who: Analysts, product data scientists, and career switchers coming from business roles.
• Machine learning and AI specialization (premium | near-term): Machine learning appears in about 25% of local postings, and nearly 45% of data and analytics postings nationally now include AI-related terms. Who: Mid-career candidates who already have solid analytics foundations and want to move up-market.
• Causal inference and A/B testing (differentiator | immediate): Both skills appear in about 10% of local postings and map directly to product-facing roles like Paraform's Senior Data Scientist – Product opening. Who: Candidates aiming at product analytics, growth, marketplace, or experimentation teams.
• PyTorch (premium | near-term): PyTorch appears in about 10% of local postings and is especially relevant for generative AI and model-heavy roles such as Genentech's Gen AI Foundation team. Who: Applied ML and AI candidates who want access to the best-paying subset of openings.
• Biotech and quantitative biosciences domain knowledge (premium | near-term): South San Francisco openings at Genentech, Merck, and Amgen show that life-science context can materially widen your target list in this metro. Who: Candidates with biology, chemistry, pharma, clinical, or computational biology exposure.

Questions about this market

What do Data, Analytics & AI roles pay in San Francisco-Oakland-Fremont, CA?

Observed government wage data for data scientists in the metro put median pay at $170,110 in May 2025, with the 25th percentile at $130,430 and the 75th percentile at $212,970. Proxy signals are somewhat higher for current openings: local posted ranges center on about $171k to $236k, AI/ML engineer starting salaries are projected around $180,900 to $260,888, and a recent Genentech senior data scientist posting showed $177,310 to $329,290. This is clearly a premium-pay market: local data scientists had a mean hourly wage of $81.79, versus $48.19 across all occupations in the metro.

Where is demand for Data, Analytics & AI roles in San Francisco-Oakland-Fremont, CA concentrated?

Opportunity is not evenly distributed. In the recent local posting sample, software development accounts for about 35% of postings, broader technology about 25%, and financial services about 10%, while hiring is fragmented across employers rather than dominated by one firm. The most consistently active employers include Applied Methods Ltd, OpenAI Foundation, Anthropic Limited, Genentech, and Chime Enterprise. A second concentration sits in South San Francisco biotech and computational biology. Genentech posted a Senior Data Scientist, Gen AI Foundation role at $177,310 to $329,290 and later a Head, Innovation Accelerator Data Science role, while Merck and Amgen also advertised South San Francisco data-science openings in quantitative biosciences and PKDM-BA. Product analytics is another clear pocket: Paraform advertised a Senior Data Scientist – Product role, and local skill demand includes causal inference and A/B testing at about 10% each.

Which employers are hiring the most Data, Analytics & AI talent in San Francisco-Oakland-Fremont, CA?

Recent postings show the most activity from Applied Methods Ltd (20 postings), OpenAI Foundation (15 postings), Neura Market (10 postings), Plank (10 postings), AI Chopping Block, Inc. (10 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in San Francisco-Oakland-Fremont, CA be done remotely?

Of recent postings, 15% are remote and 40% hybrid, with 45% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

Browse California openings by job title

• Software Engineer: 885 open roles statewide
• General Manager: 351 open roles statewide
• Project Manager: 319 open roles statewide
• Product Manager: 293 open roles statewide
• Program Manager: 243 open roles statewide
• Senior Software Engineer: 202 open roles statewide
• Technical Program Manager: 192 open roles statewide
• Staff Software Engineer: 141 open roles statewide
• Engineering Manager: 126 open roles statewide
• Senior Manager: 98 open roles statewide
• Senior Product Manager: 80 open roles statewide
• Associate Director: 75 open roles statewide

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