Data Scientist · Washington · SOC 15-2051
Data Scientist Salary in Washington (2026)
BLS Occupational Employment and Wage Statistics, 2024 reference period · BEA Regional Price Parity 2023 vintage · Last synced 2026-05-05.
TL;DR
- BLS reports Washington Data Scientist median pay at $158,760. Adjusted for state cost of living, real purchasing power equals $146,498.
- Quartile range $108,530 (bottom 25%) to $199,620 (top 25%); the P10-P90 envelope is $92,680 to $226,760.
- Mid-band cost of living: real and nominal wage are within a few percent of each other.
- Data Scientist ranking: #1 on the BLS table, #1 once cost of living is in.
Wage breakdown — Washington
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $92,680 | $85,522 |
| P25 (lower quartile) | $108,530 | $100,148 |
| P50 (median) | $158,760 | $146,498 |
| P75 (upper quartile) | $199,620 | $184,202 |
| P90 (top tier) | $226,760 | $209,246 |
| Mean | $162,730 | $150,161 |
| Employment | 7,930 Data Scientists in Washington | |
Cost of living — BEA Regional Price Parity
| Component | Washington index (US = 100) |
|---|---|
| All-items RPP | 108.4 |
| Goods | 106.9 |
| Services | 84.0 |
| Rents | 125.5 |
Washington is a high-cost state — RPP 108.4 above the national 100 baseline. Most of the cost premium routes through rents (125.5) and services (84.0).
After-tax take-home — Washington (2024 BLS · 2024 tax year, single filer)
Layer-by-layer take-home math at the BLS median
| Layer | Amount | Note |
|---|---|---|
| Gross BLS P50 (Data Scientist) | $158,760 | nominal median |
| Federal income tax | −$26,920 | 17.0% effective; std deduction $15,750 applied |
| State income tax | $0 | no state income tax (capital gains tax above $262K) |
| FICA (SS 6.2% + Medicare 1.45%) | −$12,145 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $119,694 | 75.4% of gross |
| Real take-home (RPP-adjusted) | $110,450 | ÷ (108.4 / 100) BEA cost-of-living |
What the Washington state-tax burden means for Data Scientist take-home
Washington levies no state income tax on wages, which is worth roughly $7,938 a year for a Data Scientist at the BLS median compared with the national-average state burden (≈5%). After cost of living, real take-home is $110,450 — lower than the nominal after-tax figure because RPP exceeds 100.
Computed from 2026 IRS federal brackets (Rev. Proc. 2025-32), 2026 state DOR brackets, and 2026 FICA rates. Single filer, standard deduction, no other adjustments. See methodology · tax for limitations (married filers, ITM/SALT itemizers, retirement deferrals, HSA, dependent credits, etc.).
National context
Across the United States, BLS reports a national median of $112,590 for Data Scientists with mean pay of $124,590 and total employment of 233,440. Washington sits at #1 on nominal pay and #1 on real (cost-adjusted) pay among the 51 states and DC. Nominal and real ranking are the same — cost of living and pay scale together.
Frequently asked questions
- What is the real (cost-adjusted) Data Scientist salary in Washington?
- After BEA RPP adjustment (regional price parity index 108.4 for Washington), the real-wage equivalent is $146,498 — what the $158,760 nominal salary actually buys. Quartiles in real terms: $100,148 to $184,202.
- What does the top of the Data Scientist pay scale look like in Washington?
- The 90th percentile lands at $226,760. That tier typically reflects senior roles, specialty certifications, high-cost-of-living metros within the state, or union-negotiated rate cards. Below that, the P75 quartile is $199,620.
- Where does Washington rank for Data Scientist pay?
- On nominal BLS wages alone, Washington ranks among the 51 states and DC by median pay. After the BEA cost-of-living adjustment the ordering changes — high-cost states fall, low-cost states rise. Both rankings are shown in the data table on this page.
- How wide is the wage spread in Washington?
- P10 to P90 spans $92,680 to $226,760. That spread captures entry-level to top-quartile pay, including specialty differentials and metro-area variance within the state.
- Should I negotiate based on the BLS median for Washington?
- The BLS median is a calibration anchor, not a ceiling. Use it to validate that an offer is in-band — anything well below the P25 in this state is a flag, anything above the P75 typically requires demonstrable specialty depth, niche credentials, or a high-COL metro within Washington.
- Data scientist vs data analyst pay in Washington — what's the gap?
- BLS reports them under different SOC codes (15-2051 for data scientists, 13-1161 for market/data analysts). In Washington, the data scientist median typically runs 30-60% above the data analyst median, reflecting heavier ML/statistics requirements, deeper SQL/Python depth expectations, and stronger industry placement in tech and finance.
- Industry vs academia data scientist pay in Washington?
- Academia and government research positions in {state} typically pay below the BLS data scientist median — often 20-40% lower at the assistant-professor or junior-research-scientist level. Industry roles (especially tech, finance, consumer internet) pull the BLS aggregate well above academic ranges.
Sources & methodology
- U.S. Bureau of Labor Statistics — Occupational Employment and Wage Statistics (OES), SOC 15-2051, 2024 reference period.
- U.S. Bureau of Economic Analysis — Regional Price Parities, 2023 vintage (all-items, goods, services, rents).
- Real-wage figures = nominal BLS wage ÷ (state RPP / 100).
- See the methodology page for full computation details and limitations.
Cross-comparison: see how Washington Data Scientist pay ranks against the other 254 state × occupation pages on the Real Wage Atlas → — four-way ranking by real wage, after-tax take-home, state-tax savings, and cost-of-living arbitrage.