Data Scientist · Alabama · SOC 15-2051
Alabama 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
- $105,410 is the BLS median wage for Data Scientists in Alabama; $118,309 is the BEA-adjusted purchasing-power equivalent.
- Bottom quartile $76,180, top quartile $128,250. The P90 ($147,980) is roughly 2.4× the P10 ($61,810).
- After the cost-of-living adjustment, take-home rises by $12,899 versus the BLS median — purchasing-power arbitrage.
- Data Scientist ranking: #25 on the BLS table, #15 once cost of living is in.
Wage breakdown — Alabama
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $61,810 | $69,374 |
| P25 (lower quartile) | $76,180 | $85,502 |
| P50 (median) | $105,410 | $118,309 |
| P75 (upper quartile) | $128,250 | $143,944 |
| P90 (top tier) | $147,980 | $166,089 |
| Mean | $102,970 | $115,571 |
| Employment | 1,620 Data Scientists in Alabama | |
Cost of living — BEA Regional Price Parity
| Component | Alabama index (US = 100) |
|---|---|
| All-items RPP | 89.1 |
| Goods | 94.6 |
| Services | 89.9 |
| Rents | 61.6 |
Alabama sits below the national baseline (RPP 89.1), so nominal pay translates to a higher real wage than the BLS median suggests — particularly visible in rents at 61.6.
After-tax take-home — Alabama (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) | $105,410 | nominal median |
| Federal income tax | −$14,437 | 13.7% effective; std deduction $15,750 applied |
| State income tax | −$5,106 | 2-5% (graduated) |
| FICA (SS 6.2% + Medicare 1.45%) | −$8,064 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $77,803 | 73.8% of gross |
| Real take-home (RPP-adjusted) | $87,324 | ÷ (89.1 / 100) BEA cost-of-living |
What the Alabama state-tax burden means for Data Scientist take-home
Mid-band state-tax burden at 4.8% effective. Combined with federal and FICA, take-home is $77,803 (73.8% of gross). After the 89.1 RPP, real take-home is $87,324. Local-tax overlay: Birmingham, Macon County, and Bessemer assess 1% occupational privilege tax on wages.
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. Alabama sits at #25 on nominal pay and #15 on real (cost-adjusted) pay among the 51 states and DC. After cost adjustment, Alabama climbs 10 positions — the cost of living is favorable relative to the wage.
Frequently asked questions
- How are Alabama 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.
- How many Data Scientists does Alabama employ?
- BLS OES counts 1,620 Data Scientists employed in Alabama 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 Alabama 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. Alabama's overall index of 89.1 reflects rents 61.6, services 89.9, and goods 94.6.
- Where does Alabama rank for Data Scientist pay?
- On nominal BLS wages alone, Alabama 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.
- 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.
- Should I negotiate based on the BLS median for Alabama?
- 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 Alabama.
- 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.
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 Alabama 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.