The median Data Scientist salary in United States is $160K in 2026, with a typical range from $143K to $167K. Pay has moved +9.0% year-on-year. San Francisco Bay Area currently leads city pay at $188K. This is base salary for permanent employees. Contracting instead? See day rates for this role below.
What does A Data Scientist do?
A Data Scientist is responsible for building statistical models, running predictive analysis, and translating data into business decisions.
Day-to-day responsibilities
National Median Salary
$160K
per yearUnited States annual benchmark • 2026
Salary Range (P25 – P75)
Data quality & confidence
Confidence Score
95%
YoY Momentum
+9.0%
Median salary benchmark
$160K
annual - 2026
Typical salary range
$143K-$167K
25th-75th percentile
Year-on-year pay movement
+9.0%
from market research
Forward pay outlook
$175K
Forecasted market posture
Permanent salary benchmarks for Data Scientist in United States, from the low end to the top of the range, based on published market compensation data.
Low
$125K
P25
$143K
Median
$160K
P75
$167K
High
$192K
After Federal Tax & FICA · single, standard payroll deductions
Gross/year
$143K
Take-home/year
$109,007
Per month
$9,084
Effective rate
23.8%
Gross/year
$160K
Take-home/year
$120,626
Per month
$10,052
Effective rate
24.6%
Gross/year
$167K
Take-home/year
$125,411
Per month
$10,451
Effective rate
24.9%
See the full band-by-band breakdown for Data Scientist
Adjust for your actual salary, see each federal income tax and FICA (no state tax modelled) band, and get monthly and weekly figures.
3-day/week office schedule · typical US commute assumptions
Break-even remote salary
$136,700
minimum to match $160K hybrid
Annual commute impact
−$15,956
costs + time value lost
Hours commuting/year
144 hrs
at 60 min/day, 3 days/wk
See the full break-even analysis for Data Scientist
Adjust commute costs, compare any two salaries, and find the exact remote salary you need.
Hiring outlook · remote rate · top employers
Hiring outlook
StableRemote / hybrid
65%
of roles offer remote or hybrid
Salary growth (YoY)
+9.0%
market is paying more
Full market demand breakdown for Data Scientist
Hiring drivers, remote rate detail, full employer list, and demand FAQs for the US.
Contract day rates available for this role
Median $100/hour, see full breakdown, city rates, and take-home calculator
Contract break-even
What day rate beats a $160K Data Scientist salary after tax?
Break-even day rate
$782/day
to match $160K permanent net
Permanent net take-home
$120,626/yr
$160K gross, 2026 federal + FICA rates
1099 sole proprietor, 220 days, self-employment tax, no state tax modelled. Net figures are estimates; use the calculators for exact results.
Market Demand & Outlook
Demand level
Low
Based on hiring signals relative to similar roles in this market.
Top hiring locations
Career outlook
Strong upward salary momentum
Data Scientist salaries are showing strong movement, with latest benchmark growth at +9.0%.
Seniority is the biggest single driver of Data Scientist pay in United States. Entry-level roles start at $110K, rising 125% to $248K at lead or principal level.
Junior
$110K
$110K-$110K middle band
Mid-level
$155K
$155K-$155K middle band
Senior
$197K
$197K-$197K middle band
Principal/Lead
$248K
$248K-$248K middle band
Certain technical skills push Data Scientist salaries in United States significantly above the $160K median. These are the most impactful skills to develop or highlight when negotiating.
PyTorch / TensorFlow
+17%
salary premium vs median
MLflow
+13%
salary premium vs median
SQL + dbt
+11%
salary premium vs median
Causal inference
+19%
salary premium vs median
Data Scientist salary varies meaningfully by location. San Francisco Bay Area commands a +18% premium over the national benchmark ($188K), while Atlanta sits -16% at $135K. Location is worth factoring into any offer negotiation.
$135K
-16% vs national
$177K
+11% vs national
$141K
-12% vs national
$144K
-10% vs national
$188K
+18% vs national
$144K
-10% vs national
$165K
+3% vs national
$174K
+9% vs national
$159K
-1% vs national
$162K
+1% vs national
$161K
+1% vs national
$142K
-11% vs national
How does Data Scientist pay compare to similar roles?
Explore United States salary intelligence
Market context for Data Scientists in United States
UK vs US Take-Home Pay 2026: What Your Salary Is Really Worth After the Move
At an equivalent £90,000/$120,600 (FX roughly £1 = $1.34), a UK salary nets £62,757 a year (69.7% retained) versus a US federal-only net of $93,672 (77.7% retained, before any state tax). The US baseline wins at every level checked here, but that gap shrinks or reverses fast once you add California or New York state tax. Here's the full comparison, done correctly.
No-State-Tax States vs California & New York: What $150,000 Really Nets in 2026
A $150,000 salary nets $113,791 federal-only in Texas, Florida, or Washington. Move that same salary to California and state tax plus SDI take another $12,292, dropping net to roughly $101,499. New York takes $8,282, netting about $105,509. Here's exactly why the 'no state income tax' states can be worth more take-home than a bigger sticker-price offer in a high-tax state.
Federal Tax + FICA Explained: How a US Paycheck Actually Loses Money (2026)
On a $120,000 W-2 salary, $17,570 goes to federal income tax and $9,180 goes to FICA (Social Security + Medicare), before a single dollar of state tax. Here's exactly how the 2026 federal brackets, the $16,100 standard deduction, and FICA's separate wage-base and 0.9% Additional Medicare Tax rules combine on your actual paycheck.
Data Scientists in United States earn a median salary of $160K in 2026, with a typical range from $143K at the 25th percentile to $167K at the 75th percentile. This benchmark reflects published market compensation data for annual pay across the United States market.
San Francisco Bay Area currently leads city pay at $188K, which is 18% above the national benchmark. City coverage for this role includes Atlanta, New York City, Chicago, Austin, San Francisco Bay Area, Denver, Boston, Seattle, San Diego, Los Angeles, Washington, DC, Washington DC, helping you compare local pay differences without needing separate city-role pages.
At experience level, entry roles start around $110K, senior roles sit near $197K, and lead-level roles reach about $248K. Demand is currently moderate for this role based on recent coverage and salary momentum signals.
The median Data Scientist salary in United States is $160K in 2026. The typical range runs from $143K at the 25th percentile to $167K at the 75th percentile, based on published market compensation data.
Data Scientist salaries have moved +9.0% year-on-year in United States.
Data Scientist salaries vary across United States. San Francisco Bay Area leads at $188K (+18% vs the national benchmark), while Atlanta sits at $135K. Use the city breakdown above to compare all locations.
A Data Scientist earning the median $160K gross in United States will take home a net amount after income tax and other deductions. Use the PayMetric Labs take-home calculator on this page for an exact breakdown by tax band.
Principal/Lead-level Data Scientists in United States earn the most, with a median of $248K, compared to $110K at entry level. Seniority is the strongest single driver of pay in this role.
On a 3-day hybrid schedule with a typical US commute ($12/day travel, 60-minute round trip, daily meal premium, annual wardrobe costs), your true net income at $160K is approximately $104,670 per year, compared to $120,626 net without any commute. The commute costs $15,956 per year in direct expenses and lost time. A fully remote role paying $136,700 would leave you equally well off.
Assuming a 3-day hybrid schedule with typical commute costs, you would need a remote salary of at least $136,700 to match the true net value of a $160K hybrid Data Scientist role in the US. For a 5-day fully in-office role, the break-even remote salary rises to $121,600, as the higher office frequency increases travel, meal, and time costs significantly.
On a 3-day hybrid schedule with a 60-minute round trip, a Data Scientist in the US spends approximately 144 hours commuting per year, equivalent to 18 full working days. Valued at the implied hourly rate for a $160K salary ($83/hr), that time is worth $12,000 annually.
As more employers in the US reintroduce hybrid or full in-office mandates in 2026, the true value of a Data Scientist salary depends increasingly on the number of required office days. At $160K, each additional day in the office costs roughly $5,152 per year in direct and time costs (moving from 3 to 5 days). Candidates evaluating offers should compare true net income rather than gross salary alone.
This benchmark is derived from verified market compensation data and is rated High Confidence. High Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.
An indicative year-over-year signal of +9.0% is available from the latest market research for this role. This figure is directional market research rather than a matched prior-year observation in our own dataset.
Research-reported year-over-year movement is an indicative 9% (not a matched prior-year observation).
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