San Francisco · United States
Data Scientist Salary in San Francisco
Base salary bands for data scientist roles in San Francisco, adjusted from the national US reference band using a local market multiplier of 131%.
- 25th percentile
- $163k
- Median
- $207k
- 75th percentile
- $257k
- 90th percentile
- $317k
Cost-of-living adjusted
$123k
Equivalent purchasing power at US national average cost of living
Rent burden
20%
Median annual rent as a share of median gross pay
Estimated openings
130
Active openings estimate for this role in San Francisco
By level
Data Scientist pay by level in San Francisco
| Level | P25 | Median | P90 |
|---|---|---|---|
| Entry | $125k | $150k | $199k |
| Mid | $163k | $194k | $260k |
| Senior | $212k | $252k | $343k |
| Staff | $273k | $323k | $456k |
Employers
Companies hiring data scientists in San Francisco
Stripe
Payments infrastructure for internet businesses, from startups to global enterprises.
Snowflake
Cloud data platform separating storage from compute across every major cloud.
Databricks
Data and AI platform built on the lakehouse architecture and open table formats.
Ramp
Corporate cards and spend management built around reducing expenditure rather than rewarding it.
FAQ
Common questions
What is the average Data Scientist salary in San Francisco?
The median data scientist salary in San Francisco is $207k, with a typical range of $163k to $317k depending on level and company.
How far does a Data Scientist salary go in San Francisco?
Adjusted for local cost of living, the median data scientist salary in San Francisco is equivalent to about $123k of US-national purchasing power. Median rent takes up roughly 20% of gross pay.
How many Data Scientist openings are there in San Francisco?
We estimate around 130 active data scientist openings in San Francisco at any given time, scaled from the city's overall market size and hiring demand for this role.
Which companies hire Data Scientists in San Francisco?
Stripe, Snowflake, Databricks, Ramp have hired for this role in San Francisco.