Data Scientist Salary in Washington

Data Scientists in Washington have a median annual salary of $163,350, which works out to about $78.54 per hour, with a typical 25th–75th percentile range of $105,240 to $208,320, based on the latest BLS OEWS data.

15-2051 · Data Scientists

Data Scientist pay in Washington at a glance

Median annual salary

$163,350

Median hourly wage

$78.54/hr

Average annual salary

$158,040

Average hourly wage

$75.98/hr

25th percentile

$105,240

75th percentile

$208,320

10th percentile

$79,930

90th percentile

$220,040

People employed

9,600

Salary distribution

Reported wage points from the lowest to the highest paid data scientist roles in Washington.

10th percentile
$79,930
25th percentile
$105,240
Median percentile
$163,350
75th percentile
$208,320
90th percentile
$220,040

Washington vs U.S. salary

The median salary for data scientist roles in Washington is about 35.9% above the U.S. median of $120,230 for the same occupation.

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How much does a data scientist make in Washington?

Half of data scientist roles in Washington report earning more than $163,350 a year and half report earning less — that is the median. The mean (average) of $158,040 is pulled up or down by the highest and lowest earners, which is why the median is usually the better benchmark.

Salary range

A quarter of reported salaries fall below $105,240 and a quarter are above $208,320, so most data scientist pay sits between those two figures. These percentiles describe how pay is spread across all reported roles — they are not a direct measure of years of experience.

What can affect data scientist pay?

  • Years of experience and level of responsibility
  • Employer type and size
  • Specialization within the occupation
  • Certifications and licensing
  • Industry
  • Hours worked, shift patterns and overtime
  • The local labor market where the job is based

Data Scientist pay in other states

Related jobs in Washington

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Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025. Methodology · Data sources

Salary figures are benchmarks and can vary by employer, experience, specialization, hours worked and other factors.