Data Scientists salaries in Lafayette-West Lafayette, IN
Median $91,400 across 24 filings, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$91,400
Middle 50%
$74,900–$103,200
Filings
24
- Median is 27% below the national median for Data Scientists ($125,000).
- Most filings are wage Level II (42%).
- Purdue University has the most filings (5), with a median of $72,000.
Based on 24 filings. Small samples can differ from actual pay ranges.
Top companies
| Company | Filings | Median |
|---|---|---|
| Purdue University | 5 | $72,000 |
| Akkodis, Inc. | 2 | $106,200 |
| Prediction Guard, Inc. | 2 | $115,000 |
| Wabash National Corporation | 2 | $90,000 |
| Ambyint Corporation | 1 | $68,300 |
| American Express Company | 1 | $127,800 |
| BLUE WAVE CAPITAL AND CONSULTING LLC | 1 | $99,800 |
| Battelle Memorial Institute | 1 | $120,000 |
| Corteva Agriscience LLC | 1 | $101,000 |
| Four Brother Food Services Inc | 1 | $61,500 |
| INGERSOLL-RAND INDUSTRIAL US, INC. | 1 | $107,000 |
| Maximus Industries Corporation | 1 | $90,000 |
| Purdue University | 1 | $75,000 |
| Samsara Inc. | 1 | $74,400 |
| Stout Risius Ross, LLC | 1 | $88,000 |
| Techwhiz Solutions, LLC | 1 | $93,000 |
| ZF Active Safety and Electronics US, LLC | 1 | $98,000 |
Level I 13%
Level II 42%
Level III 29%
Level IV 17%
Take-home pay
| Gross | $91,400 |
| Federal income tax | $11,300 |
| Social Security | $5,700 |
| Medicare | $1,300 |
| State income tax | $2,700 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $69,000 |
| Take-home per month | $5,800 |
Tax year 2026, single filer.
Local taxes, 401(k), and filing status other than single are not included.
Tax rates checked against IRS, Tax Foundation, and other original sources on Oct 28, 2026.
This is an estimate. Actual taxes depend on your situation. Consult a tax professional before filing.
LCA filings are not hires.
Filed wages are offered base pay, not total compensation.
We did not independently verify the source files. Deduplication and filtering can cause differences from the original data.