Data Scientist · Oklahoma · SOC 15-2051
Data Scientist Salary in Oklahoma (2026)
BLS Occupational Employment and Wage Statistics, 2024 reference period · BEA Regional Price Parity 2023 vintage · Last synced 2026-05-05.
TL;DR
- Oklahoma pays Data Scientists a BLS median of $80,380 — the more useful number is $90,641, what that paycheck buys after rent and services.
- BLS percentile breakdown: P10 $54,930 · P25 $66,500 · P75 $107,520 · P90 $146,190.
- Low BEA RPP (88.7) means the paycheck stretches further than the BLS number suggests; net lift roughly $10,261.
- State ranks #47 nationally on nominal wage, #47 on real (RPP-adjusted) wage.
Wage breakdown — Oklahoma
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $54,930 | $61,942 |
| P25 (lower quartile) | $66,500 | $74,989 |
| P50 (median) | $80,380 | $90,641 |
| P75 (upper quartile) | $107,520 | $121,245 |
| P90 (top tier) | $146,190 | $164,851 |
| Mean | $89,940 | $101,421 |
| Employment | 2,160 Data Scientists in Oklahoma | |
Cost of living — BEA Regional Price Parity
| Component | Oklahoma index (US = 100) |
|---|---|
| All-items RPP | 88.7 |
| Goods | 93.3 |
| Services | 80.2 |
| Rents | 65.0 |
Oklahoma sits below the national baseline (RPP 88.7), so nominal pay translates to a higher real wage than the BLS median suggests — particularly visible in rents at 65.0.
After-tax take-home — Oklahoma (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) | $80,380 | nominal median |
| Federal income tax | −$8,931 | 11.1% effective; std deduction $15,750 applied |
| State income tax | −$3,328 | 0.25–4.75% (graduated) |
| FICA (SS 6.2% + Medicare 1.45%) | −$6,149 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $61,972 | 77.1% of gross |
| Real take-home (RPP-adjusted) | $69,883 | ÷ (88.7 / 100) BEA cost-of-living |
What the Oklahoma state-tax burden means for Data Scientist take-home
Mid-band state-tax burden at 4.1% effective. Combined with federal and FICA, take-home is $61,972 (77.1% of gross). After the 88.7 RPP, real take-home is $69,883.
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. Oklahoma sits at #47 on nominal pay and #47 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
- How much does a Data Scientist make in Oklahoma?
- BLS reports a median annual wage of $80,380 for Data Scientists in Oklahoma as of the latest OES release. That is the 50th-percentile figure — half earn more, half earn less. The 25th-percentile is $66,500 and the 75th-percentile is $107,520.
- What is the real (cost-adjusted) Data Scientist salary in Oklahoma?
- After BEA RPP adjustment (regional price parity index 88.7 for Oklahoma), the real-wage equivalent is $90,641 — what the $80,380 nominal salary actually buys. Quartiles in real terms: $74,989 to $121,245.
- How are Oklahoma Data Scientist salaries calculated on this page?
- Nominal wages come from BLS Occupational Employment and Wage Statistics (OES) — annual employer surveys, May 2026 reference period. Real-wage figures use BEA Regional Price Parities (2023 vintage) to adjust for state-level cost of living. No self-report or jobs-board data is mixed in.
- Is Oklahoma a 'real-wage arbitrage' state for Data Scientists?
- Yes — the BEA RPP of 88.7 is below the national 100 baseline, so nominal $80,380 stretches to a real-wage equivalent of $90,641. The take-home advantage versus a higher-RPP state is meaningful for Data Scientists comparing offers across regions.
- 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.
- Does a PhD increase data scientist salary in Oklahoma?
- 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 Oklahoma, concentrated in research-heavy industries (pharma, quant finance, AI labs) and largely absent in product analytics roles.
- Industry vs academia data scientist pay in Oklahoma?
- 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 Oklahoma 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.