Data Scientist salary in California

Official occupation: 15-2051 Data Scientists · Reference period May 2025 · Data updated · Confidence 95/100

In California, the median data scientist earns $141,590 a year, 18% above the United States median of $120,230.

That is the 2nd-highest median among the 49 states with a published figure.

Pay is widely spread: the top 10% earn at least $224,920, 2.9 times the $77,480 that marks the bottom 10%.

California has 39,310 of these jobs, a location quotient of 1.28: the role is 28% more concentrated here than nationally.

For context, the median across all occupations in California is $58,240, so this role pays 2.4 times the local typical wage.

Published figures

Published and derived pay figures
MeasureCaliforniaNational
Median annual pay Observed$141,590United States: $120,230
Mean annual pay Observed$156,000United States: $126,800
10th percentile Observed$77,480United States: $67,240
25th percentile Observed$103,360United States: $85,660
75th percentile Observed$186,820United States: $158,880
90th percentile Observed$224,920United States: $199,130
Median hourly pay Observed$68.07United States: $57.80
Employment (jobs) Observed39,310
Jobs per 1,000 employees Observed2.158
Location quotient Observed1.28
Difference from United States median ($120,230) Derived+18%
Rank among 49 states Derived2
Ratio to California all-occupation median ($58,240) Derived2.43×
90th / 10th percentile ratio Derived2.90

Nearby in the ranking

  1. 1. Washington$163,350
  2. 2. California$141,590
  3. 3. Maryland$136,370
  4. 4. New Jersey$135,280

Largest cities in California: Los Angeles, San Diego, San Jose, San Francisco, Fresno (GeoNames). Figures are for the whole state, not individual cities.

More pay data

Source, method and data quality

  • Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS), May 2025 (Public domain (U.S. Government work)). Reference period: May 2025. Updates: Yearly (spring release).
  • Observed figures are copied from the published table without adjustment. Derived figures (rankings, ratios and differences) are calculated by us from those observed figures. No figure on this page is modeled or estimated.
  • Relative standard error (PRSE) published per estimate.
  • Confidence score: 95/100. Based on the published sampling error and job count. We only publish region pages scoring 60 or more that have at least 6 observed figures.
  • Place hierarchy from GeoNames (CC BY 4.0). Data last updated: .
  • Full method: methodology.