Salary data · San Francisco

Data Scientist Salary in San Francisco 2026.

Average base
$205,000
Median
$195,000
Range
$120,000$420,000

Complete 2026 breakdown by level. Data compiled from Levels.fyi, Glassdoor US Tech Salaries, LinkedIn Salary Insights, Built In San Francisco, Payscale.

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Salary by level

Base salary ranges + averages across all levels in San Francisco.

LevelRangeAverage
Junior / Entry
New grads with MS/PhD or strong ML portfolios. Bay Area base runs above most other US markets.
$120,000$160,000$140,000
Mid-level
Owns models and analyses end to end. The most-hired band across SF tech.
$155,000$205,000$180,000
Senior
Leads modeling work and mentors. Total comp with equity often $350K+.
$195,000$260,000$225,000
Staff / Lead
Drives data science strategy across teams. Total comp routinely $420K+ at big tech.
$250,000$330,000$285,000
FAANG / AI Labs
Google, Meta, OpenAI, Anthropic. ML-heavy and research-adjacent DS roles pay the top of this range.
$270,000$420,000$340,000
Base vs total comp

SF data scientist comp is base + equity + bonus. Big tech leans on RSUs; AI labs add large equity. At senior levels total comp often runs 40-70% above base, and ML-heavy roles at AI companies push higher.

Market bimodality

San Francisco data scientist pay is bimodal. Big tech and AI labs cluster at $200K+ base with heavy equity; smaller startups and non-tech employers cluster at $130K-$180K. ML-heavy roles pay far more than analytics-heavy ones.

Top hiring companies

Companies actively hiring Data Scientists in San Francisco + their typical salary bands.

Google
Mountain View + SF
$170K-$320K base
Meta
Menlo Park + SF
$175K-$330K base
OpenAI
SF, applied + research DS
$220K-$420K base
Anthropic
SF, fast-growing
$220K-$400K base
Databricks
SF, data + AI
$190K-$340K base
Airbnb
SF HQ, strong DS org
$180K-$310K base
Netflix
Los Gatos, top-of-market base
$250K-$450K base
Uber
SF HQ
$175K-$300K base
Pinterest
SF HQ
$165K-$290K base
Stripe
SF HQ, applied DS/ML
$190K-$340K base

FAQs

What is the average data scientist salary in San Francisco?+
The average base salary for a data scientist in San Francisco is approximately $205,000 as of 2026, with a median around $195,000. Junior data scientists earn $120K-$160K, mid-level $155K-$205K, senior $195K-$260K, and staff/lead $250K-$330K. Total compensation with equity runs substantially higher at big tech and AI labs.
How much do data scientists make at Google or Meta in San Francisco?+
At Google and Meta in the Bay Area, data scientist base salaries range from about $170K early-career to $330K at staff level. Total compensation including RSUs and bonus is much higher: senior data scientists regularly total $350K-$450K, and staff-level roles often exceed $500K.
Do data scientists earn more than data analysts in San Francisco?+
Yes, significantly. San Francisco data scientists earn 40-60% more than data analysts at equivalent experience. Data science roles emphasize machine learning, modeling, and experimentation, while analyst roles focus on reporting and BI. ML-heavy data science roles at AI labs and big tech command the largest premium.
Is $195K a good data scientist salary in San Francisco?+
$195K base is right at the San Francisco data scientist median and a strong mid-to-senior level. With equity and bonus, a $195K base role often totals $280K-$380K. ML-heavy roles at AI labs pay higher. Cost of living in SF is high, so weigh total comp against expenses.
What skills raise a data scientist's salary in San Francisco?+
The highest-paid SF data scientists combine strong ML and statistics with production engineering skills and experience deploying models at scale. Depth in experimentation, causal inference, and modern ML/LLM systems commands the largest premiums, especially at AI labs and big tech where research-adjacent roles pay the top of the market.
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Salary data compiled from publicly-available sources: Levels.fyi, Glassdoor US Tech Salaries, LinkedIn Salary Insights, Built In San Francisco, Payscale. Ranges reflect market observations for Data Scientist roles in San Francisco as of 2026-07-28. Individual offers vary based on company, level, equity, and negotiation.