Data Scientist · Oregon · SOC 15-2051
Oregon Data Scientist Salary — 2026 BLS + BEA RPP
BLS Occupational Employment and Wage Statistics, 2024 reference period · BEA Regional Price Parity 2023 vintage · Last synced 2026-05-05.
TL;DR
- Oregon pays Data Scientists a BLS median of $106,100 — the more useful number is $101,229, what that paycheck buys after rent and services.
- Mid-band cost of living: real and nominal wage are within a few percent of each other.
- Quartile range $94,100 (bottom 25%) to $154,240 (top 25%); the P10-P90 envelope is $70,570 to $192,150.
- On a real-wage basis, this state sits at #39 of 51; nominal rank is #22.
Wage breakdown — Oregon
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $70,570 | $67,330 |
| P25 (lower quartile) | $94,100 | $89,780 |
| P50 (median) | $106,100 | $101,229 |
| P75 (upper quartile) | $154,240 | $147,159 |
| P90 (top tier) | $192,150 | $183,328 |
| Mean | $124,060 | $118,364 |
| Employment | 2,650 Data Scientists in Oregon | |
Cost of living — BEA Regional Price Parity
| Component | Oregon index (US = 100) |
|---|---|
| All-items RPP | 104.8 |
| Goods | 104.8 |
| Services | 91.0 |
| Rents | 109.2 |
Oregon's overall RPP (104.8) is close to the national 100 baseline; nominal and real wage move roughly together.
After-tax take-home — Oregon (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) | $106,100 | nominal median |
| Federal income tax | −$14,589 | 13.8% effective; std deduction $15,750 applied |
| State income tax | −$8,743 | 4.75–9.9% (graduated) |
| FICA (SS 6.2% + Medicare 1.45%) | −$8,117 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $74,652 | 70.4% of gross |
| Real take-home (RPP-adjusted) | $71,224 | ÷ (104.8 / 100) BEA cost-of-living |
What the Oregon state-tax burden means for Data Scientist take-home
Oregon carries one of the heavier state-tax loads in the country at this income tier (8.2% effective on the BLS median). Combined with federal and FICA, gross-to-take-home spread is 29.6%, leaving $74,652 pre-RPP and $71,224 after the 104.8 cost-of-living index — a $34,876 gap from the headline gross.
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. Oregon sits at #22 on nominal pay and #39 on real (cost-adjusted) pay among the 51 states and DC. After cost adjustment, Oregon falls 17 positions — the cost premium eats into the headline wage.
Frequently asked questions
- How many Data Scientists does Oregon employ?
- BLS OES counts 2,650 Data Scientists employed in Oregon in the most recent release. Employment density relative to population determines whether wage tiers reflect a robust competitive market or a thinner labor pool.
- Why is the BEA RPP for Oregon different from a single CPI number?
- BEA splits regional price parity into three components — goods, services, and rents — reweighted to the BEA's national consumption basket. Oregon's overall index of 104.8 reflects rents 109.2, services 91.0, and goods 104.8.
- Is Oregon a 'real-wage arbitrage' state for Data Scientists?
- No — Oregon's RPP is close to the national 100 baseline, so nominal and real wages move roughly together. Neither an arbitrage nor a penalty state.
- What are the limits of these Data Scientist salary numbers?
- BLS OES is an employer survey of W-2 wages — it excludes contractor pay, bonuses outside the base wage definition, equity compensation, and tip income. Self-employed practitioners and gig workers are not represented. For occupations with significant non-W-2 income, the BLS figure is a floor, not a complete picture.
- When does this data update?
- BLS OES releases a new May reference set roughly each spring; we re-run the ETL pipeline within two weeks of release. BEA RPP refreshes annually. The last-synced timestamp at the top of this page reflects the most recent build.
- Data scientist vs data analyst pay in Oregon — what's the gap?
- BLS reports them under different SOC codes (15-2051 for data scientists, 13-1161 for market/data analysts). In Oregon, 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.
- Does a PhD increase data scientist salary in Oregon?
- BLS does not segment by degree. Industry surveys (Burtch Works, Glassdoor) show a PhD premium of roughly 10-25% versus a master's-only data scientist in Oregon, concentrated in research-heavy industries (pharma, quant finance, AI labs) and largely absent in product analytics roles.
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 Oregon 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.