Data Scientist · Louisiana · SOC 15-2051
Data Scientists in Louisiana: 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
- Data Scientists in Louisiana earn a BLS median of $70,530, with real take-home of $79,515 after BEA RPP adjustment.
- BLS percentile breakdown: P10 $49,920 · P25 $56,070 · P75 $80,940 · P90 $93,260.
- After the cost-of-living adjustment, take-home rises by $8,985 versus the BLS median — purchasing-power arbitrage.
- Nominal: #49/51 · Real: #49/51 — ranking shifts by 0 positions after RPP.
Wage breakdown — Louisiana
| Percentile | Nominal (BLS) | Real (BEA RPP-adjusted) |
|---|---|---|
| P10 (entry tier) | $49,920 | $56,280 |
| P25 (lower quartile) | $56,070 | $63,213 |
| P50 (median) | $70,530 | $79,515 |
| P75 (upper quartile) | $80,940 | $91,251 |
| P90 (top tier) | $93,260 | $105,141 |
| Mean | $71,740 | $80,879 |
| Employment | 1,120 Data Scientists in Louisiana | |
Cost of living — BEA Regional Price Parity
| Component | Louisiana index (US = 100) |
|---|---|
| All-items RPP | 88.7 |
| Goods | 93.0 |
| Services | 76.7 |
| Rents | 65.1 |
Louisiana 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 65.1.
After-tax take-home — Louisiana (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) | $70,530 | nominal median |
| Federal income tax | −$6,764 | 9.6% effective; std deduction $15,750 applied |
| State income tax | −$1,741 | 3.0% flat (2025+ HB 2) |
| FICA (SS 6.2% + Medicare 1.45%) | −$5,396 | SS capped at $183,600 wage base |
| Take-home (after-tax) | $56,630 | 80.3% of gross |
| Real take-home (RPP-adjusted) | $63,844 | ÷ (88.7 / 100) BEA cost-of-living |
What the Louisiana state-tax burden means for Data Scientist take-home
Louisiana's state tax is light at this income tier (~2.5% effective). The bigger compensation lever is the below-baseline cost of living (RPP 88.7), which lifts real take-home above nominal after-tax — net real after-tax $63,844.
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. Louisiana sits at #49 on nominal pay and #49 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 are Louisiana 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.
- Where does Louisiana rank for Data Scientist pay?
- On nominal BLS wages alone, Louisiana 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.
- How wide is the wage spread in Louisiana?
- P10 to P90 spans $49,920 to $93,260. That spread captures entry-level to top-quartile pay, including specialty differentials and metro-area variance within the state.
- Is Louisiana a 'real-wage arbitrage' state for Data Scientists?
- Yes — the BEA RPP of 88.7 is below the national 100 baseline, so nominal $70,530 stretches to a real-wage equivalent of $79,515. 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.
- Data scientist vs data analyst pay in Louisiana — what's the gap?
- BLS reports them under different SOC codes (15-2051 for data scientists, 13-1161 for market/data analysts). In Louisiana, 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 Louisiana?
- 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 Louisiana 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.