Data Scientist · Kentucky · SOC 15-2051
Data Scientists in Kentucky: 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
- BLS reports Kentucky Data Scientist median pay at $93,490. Adjusted for state cost of living, real purchasing power equals $104,005.
- Bottom quartile $74,110, top quartile $123,150. The P90 ($160,460) is roughly 2.8× the P10 ($58,130).
- After the cost-of-living adjustment, take-home rises by $10,515 versus the BLS median — purchasing-power arbitrage.
- Data Scientist ranking: #40 on the BLS table, #36 once cost of living is in.
Wage breakdown — Kentucky
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $58,130 | $64,668 |
| P25 (lower quartile) | $74,110 | $82,445 |
| P50 (median) | $93,490 | $104,005 |
| P75 (upper quartile) | $123,150 | $137,001 |
| P90 (top tier) | $160,460 | $178,507 |
| Mean | $100,410 | $111,703 |
| Employment | 1,700 Data Scientists in Kentucky | |
Cost of living — BEA Regional Price Parity
| Component | Kentucky index (US = 100) |
|---|---|
| All-items RPP | 89.9 |
| Goods | 94.5 |
| Services | 80.9 |
| Rents | 62.9 |
Kentucky sits below the national baseline (RPP 89.9), so nominal pay translates to a higher real wage than the BLS median suggests — particularly visible in rents at 62.9.
After-tax take-home — Kentucky (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) | $93,490 | nominal median |
| Federal income tax | −$11,815 | 12.6% effective; std deduction $15,750 applied |
| State income tax | −$3,158 | 3.5% flat 2026 (+ local 1-2.5% avg) |
| FICA (SS 6.2% + Medicare 1.45%) | −$7,152 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $71,366 | 76.3% of gross |
| Real take-home (RPP-adjusted) | $79,392 | ÷ (89.9 / 100) BEA cost-of-living |
What the Kentucky state-tax burden means for Data Scientist take-home
Mid-band state-tax burden at 3.4% effective. Combined with federal and FICA, take-home is $71,366 (76.3% of gross). After the 89.9 RPP, real take-home is $79,392. Local-tax overlay: Most Kentucky counties + cities add 1–2.5% occupational license tax (Louisville ~2.2%, Lexington 2.25%).
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. Kentucky sits at #40 on nominal pay and #36 on real (cost-adjusted) pay among the 51 states and DC. After cost adjustment, Kentucky climbs 4 positions — the cost of living is favorable relative to the wage.
Frequently asked questions
- How much does a Data Scientist make in Kentucky?
- BLS reports a median annual wage of $93,490 for Data Scientists in Kentucky as of the latest OES release. That is the 50th-percentile figure — half earn more, half earn less. The 25th-percentile is $74,110 and the 75th-percentile is $123,150.
- How many Data Scientists does Kentucky employ?
- BLS OES counts 1,700 Data Scientists employed in Kentucky in the most recent release. Employment density relative to population determines whether wage tiers reflect a robust competitive market or a thinner labor pool.
- Is Kentucky a 'real-wage arbitrage' state for Data Scientists?
- Yes — the BEA RPP of 89.9 is below the national 100 baseline, so nominal $93,490 stretches to a real-wage equivalent of $104,005. 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.
- 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 Kentucky — what's the gap?
- BLS reports them under different SOC codes (15-2051 for data scientists, 13-1161 for market/data analysts). In Kentucky, 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 Kentucky?
- 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 Kentucky 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.