TL;DR

  • $99,470 is the BLS median wage for Data Scientists in Michigan; $105,487 is the BEA-adjusted purchasing-power equivalent.
  • Bottom quartile $78,410, top quartile $124,070. The P90 ($146,120) is roughly 2.4× the P10 ($59,860).
  • Low BEA RPP (94.3) means the paycheck stretches further than the BLS number suggests; net lift roughly $6,017.
  • On a real-wage basis, this state sits at #31 of 51; nominal rank is #31.

Wage breakdown — Michigan

Percentile Nominal (BLS) Real (BEA RPP-adjusted)
P10 (entry tier)$59,860$63,481
P25 (lower quartile)$78,410$83,153
P50 (median)$99,470$105,487
P75 (upper quartile)$124,070$131,575
P90 (top tier)$146,120$154,959
Mean$102,030$108,202
Employment6,450 Data Scientists in Michigan

Cost of living — BEA Regional Price Parity

ComponentMichigan index (US = 100)
All-items RPP94.3
Goods95.8
Services99.7
Rents78.9

Michigan sits below the national baseline (RPP 94.3), so nominal pay translates to a higher real wage than the BLS median suggests — particularly visible in rents at 78.9.

After-tax take-home — Michigan (2024 BLS · 2024 tax year, single filer)

Layer-by-layer take-home math at the BLS median

LayerAmountNote
Gross BLS P50 (Data Scientist)$99,470nominal median
Federal income tax−$13,13013.2% effective; std deduction $15,750 applied
State income tax−$4,2274.25% flat 2026 (+ local 1-2.4% Detroit/Lansing/etc.)
FICA (SS 6.2% + Medicare 1.45%)−$7,609SS capped at $183,600 wage base
Take-home (after-tax)$74,50374.9% of gross
Real take-home (RPP-adjusted)$79,009÷ (94.3 / 100) BEA cost-of-living

What the Michigan state-tax burden means for Data Scientist take-home

Mid-band state-tax burden at 4.3% effective. Combined with federal and FICA, take-home is $74,503 (74.9% of gross). After the 94.3 RPP, real take-home is $79,009. Local-tax overlay: Detroit (2.4%), Grand Rapids (1.5%), Lansing (1.0%), and other Michigan cities apply a local income tax to residents.

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. Michigan sits at #31 on nominal pay and #31 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

What is the real (cost-adjusted) Data Scientist salary in Michigan?
After BEA RPP adjustment (regional price parity index 94.3 for Michigan), the real-wage equivalent is $105,487 — what the $99,470 nominal salary actually buys. Quartiles in real terms: $83,153 to $131,575.
How are Michigan 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.
What does the top of the Data Scientist pay scale look like in Michigan?
The 90th percentile lands at $146,120. 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 $124,070.
How many Data Scientists does Michigan employ?
BLS OES counts 6,450 Data Scientists employed in Michigan in the most recent release. Employment density relative to population determines whether wage tiers reflect a robust competitive market or a thinner labor pool.
Where does Michigan rank for Data Scientist pay?
On nominal BLS wages alone, Michigan 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.
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 Michigan — what's the gap?
BLS reports them under different SOC codes (15-2051 for data scientists, 13-1161 for market/data analysts). In Michigan, 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.

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 Michigan 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.