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  1. Home/
  2. Salaries/
  3. Director of Data Science/
  4. San Francisco

Director of Data Science.

San Francisco.

$293,000

median salary, 36% above the national average

$225,000 to $382,000. Last updated April 2026.

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Data points to own the conversation.

San Francisco is 35% more expensive than the national average. For Director of Data Sciences, that shakes out to a median of $293,000, with the full range spanning $225,000 to $382,000. Team composition, model deployment complexity, and business impact attribution are the strongest pay factors. Know the range before you walk in.

Salary range

25th Percentile

$225,000

per year

Median

$293,000

per year

75th Percentile

$382,000

per year

Where do you fall?

$225,000$382,000

Salary by experience

The gap between entry and lead level is typically $264,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$190,000

to $234,000

Mid (3-5 yrs)

$249,000

to $308,000

Senior (6-9 yrs)

$322,000

to $381,000

Lead (10+ yrs)

$366,000

to $454,000

Salary trend

+6% YoY
$232,000
2022
$246,000
2023
$261,000
2024
$276,000
2025
$293,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $190,000 to the total package.

Base

$293,000

Equity

$103,000

Bonus

$64,000

Signing

$23,000

Estimated total: $483,000

How San Francisco compares

San Francisco, CA

$293,000

Cost of living: 35% above average

National Average

$215,000

San Francisco is $78,000 above

Director of Data Science salary by city

Director of Data Science salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$303,000$232,000 – $394,0001.38x$220,000
San Francisco, CA$293,000$225,000 – $382,0001.35x$217,000
Honolulu, HI$285,000$219,000 – $371,0001.30x$219,000
New York, NY$283,000$218,000 – $369,0001.28x$221,000
Boston, MA$270,000$207,000 – $352,0001.22x$221,000
Jersey City, NJ$268,000$206,000 – $349,0001.20x$223,000
Seattle, WA$267,000$205,000 – $347,0001.24x$215,000
Los Angeles, CA$264,000$202,000 – $344,0001.18x$224,000
Washington DC, DC$263,000$202,000 – $343,0001.25x$210,000
Arlington, VA$262,000$201,000 – $342,0001.22x$215,000

See all 81 cities for Director of Data Science →

Salary by role in San Francisco

Salary comparison by role in San Francisco
RoleMedianRange
Principal AI Research Scientist$487,000$380,000 – $633,000
Technical Fellow$477,000$372,000 – $620,000
Principal Quantitative Researcher$454,000$354,000 – $590,000
Director of Data Science$293,000$225,000 – $382,000
Senior Machine Learning Engineer$293,000$229,000 – $382,000
Senior NLP Engineer$293,000$229,000 – $382,000
Senior AI Infrastructure Engineer$293,000$229,000 – $382,000
Senior AI Agent Engineer$293,000$229,000 – $381,000

What you should know

Here is what the Director of Data Science market actually looks like in San Francisco. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. Team composition, model deployment complexity, and business impact attribution are the strongest pay factors. Directors overseeing ML engineers alongside data scientists earn more than those managing analytics-only teams. Industry premiums are highest in fintech, adtech, and healthcare AI where model accuracy directly drives revenue.

Senior data scientists earn $140,000 to $175,000. Data science managers advance to $165,000 to $210,000. Directors start at $195,000 to $250,000. Senior directors overseeing multiple teams earn $245,000 to $300,000. VP of data science or CDO is the next step at $260,000 to $380,000. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.

Base salary is not the full picture. Equity grants at tech companies add $80,000 to $300,000 in annualized value. Cash bonuses of 15 to 25% of base tied to model performance metrics and business impact are typical. Signing bonuses of $30,000 to $75,000 are common due to talent scarcity. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $293,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for Director of Data Sciences in San Francisco runs from $225,000 to $382,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology

Interactive

Is your offer competitive?

Enter your Director of Data Science offer to see where you stand in San Francisco.

$

25th

$225,000

Median

$293,000

75th

$382,000

Considering a related role?

  • A AI Program Director in San Francisco earns $292,000 (0% more)
  • The highest-paying role in San Francisco is Principal AI Research Scientist at $487,000

Common questions.

Directors overseeing ML engineering and model deployment teams earn 15 to 25% more than those leading business analytics or BI teams. ML engineering requires managing complex infrastructure, production model serving, and specialized talent that commands higher individual salaries, increasing the director's scope and compensation.

Directors of data science typically manage teams that build predictive models and ML systems, commanding higher pay. Directors of analytics focus on dashboards, reporting, and business insights. The data science role earns 10 to 20% more due to the technical complexity and specialized talent management required.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity grants at tech companies add $80,000 to $300,000 in annualized value. In San Francisco's market, these extras can add $73,250 or more on top of the base salary.

Team composition, model deployment complexity, and business impact attribution are the strongest pay factors. Directors overseeing ML engineers alongside data scientists earn more than those managing analytics-only teams. Industry premiums are highest in fintech, adtech, and healthcare AI where model accuracy directly drives revenue. In San Francisco, these factors can push compensation from the 25th percentile of $225,000 to the 75th percentile of $382,000 or beyond.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For Director of Data Sciences specifically, the median salary of $293,000 reflects that demand.

Remote work has compressed geographic salary premiums for Director of Data Sciences. Some San Francisco employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like San Francisco, remote roles may pay 10 to 20% less than local positions. The $225,000 to $382,000 range reflects both arrangements.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For Director of Data Sciences specifically, team composition, model deployment complexity, and business impact attribution are the strongest pay factors, which signals sustained demand. The current compensation range of $225,000 to $382,000 reflects a market that is competing for talent.

Director of Data Science salary in other cities

Washington DC$263,000
Wilmington$217,000
Wichita$178,000
Austin$226,000
Atlanta$228,000
Anchorage$243,000

Other salaries in San Francisco

VP of Product$331,000
VP of Product Design$311,000
VP of Marketing$317,000
VP of Engineering$344,000

Related salary pages

Jump to nearby roles and cities most relevant to Director of Data Sciences in San Francisco.

  • VP of ProductSan Francisco, CA$331,000
  • VP of Product DesignSan Francisco, CA$311,000
  • Director of Data ScienceWashington DC, DC$263,000
  • Director of Data ScienceWilmington, DE$217,000
  • VP of ProductWashington DC, DC$312,000
  • VP of Product DesignWilmington, DE$235,000
  • Director of Data ScienceWichita, KS$178,000
  • VP of MarketingSan Francisco, CA$317,000

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"Director of Data Science Salary in San Francisco, CA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/director-of-data-science/san-francisco

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