Best Cities for Data Scientists by Take-Home Pay
The cities that pay Data Scientists the most on paper aren't usually the best deals once rent and prices are factored in. Idaho Falls ranks first with a COL-adjusted equivalent of $177,778/year, better purchasing power than San Jose-Sunnyvale-Santa Clara's higher nominal pay of $185,080. The table below uses BLS OEWS May 2025 salary data and BEA Regional Price Parities.
Highest nominal pay
Best purchasing power
Top 25 metros by purchasing power
Ranked by COL-adjusted salary. Metros with fewer than 100 employed data scientists excluded.
COL-adjusted = nominal salary divided by (BEA RPP divided by 100). Rent burden = annual 2BR FMR as % of nominal salary. Sources: BLS OEWS May 2025, BEA Regional Price Parities, HUD Fair Market Rents.
Common questions
What does "COL-adjusted pay" mean for Data Scientists?
COL-adjusted pay divides the BLS median salary by the BEA Regional Price Parity index (100 = national average). A salary of $185,080 in a city with RPP 120 has the same purchasing power as $154,233 at national average prices.
Why doesn't New York or San Francisco top this list?
Both cities pay above-average salaries, but rent and everyday costs eat most of that premium. A data scientists in New York might earn 30% more but pay 60-80% more in rent. The net result is often less purchasing power than mid-cost metros.
How is purchasing power calculated?
Purchasing power equals nominal median salary divided by (BEA RPP divided by 100). BEA's Regional Price Parities measure relative price levels across metro areas, updated annually from the National Income and Product Accounts.
What's the most affordable metro for Data Scientists?
Idaho Falls has one of the lowest rent burdens for Data Scientists in this dataset. HUD FMR for a 2-bedroom is $1,305/month, with a median salary of $167,840.
Where do Data Scientists get paid the most in nominal terms?
San Jose-Sunnyvale-Santa Clara pays the highest nominal median salary at $185,080/year, per BLS OEWS May 2025. But check the COL-adjusted column before accepting any relocation offer.