Data Scientist Salary
in San Francisco
2026 · Official labour data · 8 comparison cities
Last updated: May 2025 · Source: BLS OES Survey · 1.1M employer sample
Typical range: $165,023 – $260,970
Data Scientists in San Francisco typically earn $165K–$261K a year.
The market median is $208K — half earn above, half earn below.
Top earners (top 10%) make $321K or more.
Modelled from BLS OES national wage data and occupation premium analysis.
Data Scientist Salary Analysis — San Francisco
Data Scientists in San Francisco earn a median salary of $208K, which is 66% above the national median of $125K. San Francisco's established technology sector sustains above-average demand for this role, supporting premium compensation.
Based on BLS Occupational Employment and Wage Statistics (OEWS) and employer payroll records. Figures represent the median (P50) across all experience levels in San Francisco.
Cost of Living Adjustment
San Francisco's cost of living is 68% above the US average. Your $208K salary has the equivalent purchasing power of approximately $124K in a city with average US living costs.
Salary Distribution — San Francisco
5-band distribution from employer payroll records
New graduates, 0–1 yr exp
1–3 years experience
3–7 years, typical professional
Senior / high-performer — target
Staff / principal / lead
What Does This Salary Mean For You?
Take-home pay, savings potential, and career opportunity — in one view
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SalaryScope Fair Pay Score™
Is $208K a good salary for Data Scientist in San Francisco?
Based on BLS data for 207,524 comparable professionals in this role
You're earning above the median — in the top half of this role's salary range.
Why This Salary?
How we arrived at $208K for Data Scientists in San Francisco
Source: BLS OES. All figures reflect 2026 market conditions.
Data Scientist Salary by Experience Level in San Francisco
How compensation grows from entry-level through staff / lead
| Experience Level | Years | Percentile | Annual Salary | Monthly | Hourly |
|---|---|---|---|---|---|
| Entry | 0 | 0 yrs | $141,116 | $11,760 | $68 |
| Junior | 2 | 2 yrs | $174,320 | $14,527 | $84 |
| Mid-LevelTypical | 4 | 4 yrs | $196,456 | $16,371 | $94 |
| Senior | 6 | 6 yrs | $227,446 | $18,954 | $109 |
| Staff | 10 | 10 yrs | $307,136 | $25,595 | $148 |
| Principal | 14 | 14 yrs | $385,165 | $32,097 | $185 |
| Distinguished | 18 | 18 yrs | $404,672 | $33,723 | $195 |
Based on BLS OEWS percentile distribution. Actual salary depends on employer, skills, and negotiation.
Skills That Earn More — Data Scientist
Estimated premium above the San Francisco median based on market demand
Estimates based on job-posting salary premiums for verified high-demand skills.
Top Skills Market Premium
Real premium data from LinkedIn, StackOverflow & Levels.fyi job postings
Premiums compound — but employers rarely pay all premiums simultaneously.
Data Scientist Intelligence Report
Career metrics and full compensation breakdown — from BLS demand data
Career Opportunity Score
Composite: demand growth × 1.4 + (100 − AI risk) × 0.4
Total Compensation — Data Scientist
Beyond base salary: bonus, equity, and benefits
Sources: Levels.fyi TC data, LinkedIn Salary Insights, Robert Half 2025 Guide.
Typical Benefits for Data Scientists
Often adds 20–35% to your effective pay
Compare Data Scientist Salaries by City
How San Francisco, CA stacks up against other major markets
| City | Median | P75 | vs US avg |
|---|---|---|---|
| San Francisco, CA (current) | $207,524 | $260,970+ | +70% |
| New York, NY | $173,630 | $218,347+ | +42% |
| Seattle, WA | $175,827 | $221,110+ | +44% |
| Austin, TX | $133,458 | $167,829+ | +9% |
| Boston, MA | $170,251 | $214,098+ | +39% |
| Chicago, IL | $144,487 | $181,699+ | +18% |
| Los Angeles, CA | $168,072 | $211,358+ | +37% |
| Denver, CO | $140,804 | $177,067+ | +15% |
| Washington DC, DC | $174,361 | $219,266+ | +42% |
SalaryScope Career GPS™
What should I do next as a Data Scientist?
Master's or PhD in Statistics, Math, CS, or related field · Ranked by income potential
Other Technology Jobs in San Francisco
Same industry, same city
Frequently Asked Questions
What is the average Data Scientist salary in San Francisco, CA?
The median Data Scientist salary in San Francisco, CA is $208K per year (2026), based on BLS OEWS employer payroll data from 1.1 million employers. The top 25% earn $261K+ per year.
What is a good Data Scientist salary in San Francisco, CA?
The 75th percentile ($261K/yr) is the professional benchmark — what the top quarter already earns. It's a documented, negotiable target backed by BLS payroll data. Anything above the median ($208K) is above-average for this role in San Francisco, CA.
How much does a Data Scientist earn per hour in San Francisco, CA?
Based on the median annual salary of $208K, a Data Scientist in San Francisco, CA earns approximately $100/hr (2,080-hour work year). The P75 rate is ~$125/hr.
Is San Francisco, CA a good market for Data Scientists?
San Francisco, CA pays 70% above the US national average for this role. Demand for Data Scientists is growing 36% annually, and AI automation risk is rated moderate for this occupation.
How do I negotiate a higher Data Scientist salary in San Francisco, CA?
Cite the BLS P75 figure ($261K) — it is verifiable public data from government payroll records. Request the full compensation package: base + equity/bonus + benefits. Timing matters: negotiate at the offer stage, not after acceptance. Counter with a specific number, not a range.
How Is This Salary Calculated?
Every number is derived from a transparent, reproducible methodology — no estimates, no black boxes.
Where does the salary data come from?
All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers who report actual payroll data.
How is the San Francisco figure calculated?
The BLS publishes metro-area occupational wage statistics for 300+ US metropolitan areas. For San Francisco, SalaryScope uses the BLS metro premium ratio (metro median ÷ national median) and applies it to the national baseline.
What do P10, P25, P50, P75, and P90 mean?
These are salary percentiles from employer payroll records. P50 (median) means 50% of workers earn less. P75 means 75% earn less — this is the recommended negotiation anchor. P10 and P90 represent the bottom 10% and top 10% respectively.
How is take-home pay estimated?
Take-home pay is estimated using progressive tax brackets from official government sources (IRS for US, HMRC for UK, ATO for Australia, etc.). Social contributions (National Insurance, FICA, etc.) are added. These are estimates — actual take-home depends on deductions, filing status, and location.
How often is data updated?
US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wages refresh monthly. ECB currency rates refresh every 4 hours.
Full formulas and source citations on the methodology page.
Data Scientist Salary Trend (2019–2024)
BLS OES historical national medians
Source: BLS OEWS 2019–2024. City-level data uses national trend × metro premium.
Education Premium — Data Scientist
How degree level affects salary · ACS Census data
Source: US Census Bureau ACS PUMS · BLS OES wage data.
Negotiation Deep-Dive
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California Salary Transparency Law
Effective Jan 1, 2023Employers with 15+ employees must include pay range in all job postings
As a job seeker in California, you have the legal right to request salary ranges in job postings.
Data Scientist in Other Cities
Top Technology Jobs in San Francisco
Data Source & Attribution
Salary data sourced from the U.S. Bureau of Labor Statistics OEWS survey (1.1 million employer payroll records), OECD Average Wages, Eurostat SES, ILO ILOSTAT, and other official national statistical agencies. Data is updated via ISR and reflects the most recent release cycle.