Data Scientist · West Virginia · SOC 15-2051
Data Scientists in West Virginia: 2026 Salary, Real Wage, and Cost-Adjusted Pay
BLS Occupational Employment and Wage Statistics, 2024 reference period · BEA Regional Price Parity 2023 vintage · Last synced 2026-05-05.
TL;DR
- $95,760 is the BLS median wage for Data Scientists in West Virginia; $106,836 is the BEA-adjusted purchasing-power equivalent.
- Cost of living below the national index lifts real wage by $11,076 over the nominal — a take-home arbitrage that nominal-ranking tables miss.
- P25-P75 spread runs $72,250 to $118,820; P10 floor $49,000, P90 ceiling $165,660.
- State ranks #38 nationally on nominal wage, #28 on real (RPP-adjusted) wage.
Wage breakdown — West Virginia
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $49,000 | $54,667 |
| P25 (lower quartile) | $72,250 | $80,606 |
| P50 (median) | $95,760 | $106,836 |
| P75 (upper quartile) | $118,820 | $132,563 |
| P90 (top tier) | $165,660 | $184,820 |
| Mean | $102,770 | $114,656 |
| Employment | 220 Data Scientists in West Virginia | |
Cost of living — BEA Regional Price Parity
| Component | West Virginia index (US = 100) |
|---|---|
| All-items RPP | 89.6 |
| Goods | 95.7 |
| Services | 87.8 |
| Rents | 56.2 |
West Virginia sits below the national baseline (RPP 89.6), so nominal pay translates to a higher real wage than the BLS median suggests — particularly visible in rents at 56.2.
After-tax take-home — West Virginia (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) | $95,760 | nominal median |
| Federal income tax | −$12,314 | 12.9% effective; std deduction $15,750 applied |
| State income tax | −$3,763 | 2.27–4.82% (graduated) |
| FICA (SS 6.2% + Medicare 1.45%) | −$7,326 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $72,357 | 75.6% of gross |
| Real take-home (RPP-adjusted) | $80,726 | ÷ (89.6 / 100) BEA cost-of-living |
What the West Virginia state-tax burden means for Data Scientist take-home
Mid-band state-tax burden at 3.9% effective. Combined with federal and FICA, take-home is $72,357 (75.6% of gross). After the 89.6 RPP, real take-home is $80,726.
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. West Virginia sits at #38 on nominal pay and #28 on real (cost-adjusted) pay among the 51 states and DC. After cost adjustment, West Virginia climbs 10 positions — the cost of living is favorable relative to the wage.
Frequently asked questions
- What does the top of the Data Scientist pay scale look like in West Virginia?
- The 90th percentile lands at $165,660. 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 $118,820.
- Why is the BEA RPP for West Virginia 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. West Virginia's overall index of 89.6 reflects rents 56.2, services 87.8, and goods 95.7.
- How wide is the wage spread in West Virginia?
- P10 to P90 spans $49,000 to $165,660. That spread captures entry-level to top-quartile pay, including specialty differentials and metro-area variance within the state.
- Is West Virginia a 'real-wage arbitrage' state for Data Scientists?
- Yes — the BEA RPP of 89.6 is below the national 100 baseline, so nominal $95,760 stretches to a real-wage equivalent of $106,836. The take-home advantage versus a higher-RPP state is meaningful for Data Scientists comparing offers across regions.
- 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 West Virginia — what's the gap?
- BLS reports them under different SOC codes (15-2051 for data scientists, 13-1161 for market/data analysts). In West Virginia, 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 West Virginia?
- 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 West Virginia, 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 West Virginia 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.