Data Scientists & ML Engineers Salary in IndianaPercentile Rankings — BLS OES 2024

Indiana median:$96,138
-11.0% below national median
#36 of 51 states

Indiana ranks #36 out of 51 states for Data Scientists & ML Engineers salaries, making it below the national average for this occupation nationwide. The median salary of $96,138 is 11% below the national median of $108,020. Salaries span a wide range: the 10th percentile starts at $56,070, the 75th percentile reaches $125,490, and the top 10% of earners clear $162,870. The state mean of $103,267 sits above the median, reflecting the spread of high earners at the top of the distribution. Use the percentile calculator above to see exactly where your salary ranks among Data Scientists & ML Engineers in Indiana.

IndianaData Scientists & ML Engineers Salary Percentiles

10th Pct$56,070
25th Pct$76,540
Median$96,138
Mean$103,267
75th Pct$125,490
90th Pct$162,870

Your Data Scientists & ML Engineers Salary in Indiana

BLS OES 2024 · 116 Occupations

Salary Percentile Calculator

See exactly where your salary ranks among US workers in your field and state.

Based on official BLS data for 116 occupations across all 50 US states.

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Frequently Asked Questions

A salary percentile tells you what percentage of workers in a given occupation earn less than you. For example, if you're at the 70th percentile, you earn more than 70% of workers in that field. It's a more useful benchmark than a simple average because it shows where you stand across the full distribution of wages.

We use linear interpolation between the BLS wage anchor points (10th, 25th, 50th, 75th, and 90th percentiles) to estimate your exact percentile rank. State figures are derived by applying BLS regional wage indices to the national data. For salaries below the 10th or above the 90th percentile, we flag this clearly rather than extrapolating an unreliable estimate.

All data comes from the Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OES) program, May 2024 release. This is the most comprehensive, official source of US occupational wage data, covering over 800 occupations and nearly every industry. We cover 116 occupation groups across all 50 states and Washington D.C.

If you're below the median (50th percentile) for your occupation in your state, you have a data-backed argument for a raise. Come prepared with your percentile result and the BLS benchmark figures from the table below the gauge. Framing your ask around official government data — rather than salary sites — is often more persuasive to employers and hiring managers.

According to BLS OES May 2024 data, the median annual wage across all occupations in the United States is approximately $49,500. However, this varies enormously by occupation — from around $30,000 for food preparation workers to over $236,000 for physicians and surgeons. That's why comparing within your specific occupation is far more meaningful than a national cross-occupation average.

Indiana Salary Benchmarks

10th percentile$56,070
25th percentile$76,540
Median (50th)$96,138
Mean (average)$103,267
75th percentile$125,490
90th percentile$162,870

vs National

Median
$96,138-11.0%
Mean
$103,267-11.0%
Top 10%
$162,870-11.0%

Data Scientists & ML Engineers Salary in Indiana — FAQ

According to BLS OES May 2024 data, the median Data Scientists & ML Engineers salary in Indiana is $96,138 per year. The mean (average) is $103,267, which is higher than the median due to the distribution of wages in this state.

Indiana pays Data Scientists & ML Engineers -11.0% below the national median of $108,020. At $96,138, Indiana ranks #36 out of 51 states for this occupation.

The 90th percentile salary for Data Scientists & ML Engineers in Indiana is $162,870 per year — meaning the top 10% of earners make more than this. Only a small fraction of Data Scientists & ML Engineers in Indiana exceed this figure.

Entry-level Data Scientists & ML Engineers in Indiana typically earn in the 10th–25th percentile range: approximately $56,070 to $76,540 per year. Salaries grow significantly with experience and specialization.