What the numbers say
Montana's median Data Scientist wage was $106,860 in 2024, about 7.6% below the national median of $115,636. That gap is real, but smaller than it first looks once you account for cost of living. Montana's price index sits at 96.8, meaning the dollar goes a bit further here than in most states. In purchasing-power terms, the state median lands close to $110,390 in national-baseline dollars, closing most of that headline difference.
The spread between bottom and top earners is wide. The 10th percentile came in at $75,620 while the 90th reached $162,470. Top earners make roughly 2.1 times what entry-level peers do. That range likely reflects the mix of roles in the state: a junior analyst at a regional firm sits far below a senior scientist at a research institution or a remote tech employer paying coastal rates.
Montana's total Data Scientist employment was around 200 in 2024. A small headcount like that means the wage figures can shift noticeably from one year to the next as a few higher-paid positions come and go. The mean of $111,490 runs above the median, which tells us a handful of higher earners pull the average up.
BLS projects the occupation to grow 33.5% nationally between 2024 and 2034, which it classifies as much faster than average. Montana's own figure is not broken out separately at the state level, but the underlying demand is tied to data infrastructure build-out across industries that operate here, including agriculture, healthcare, and natural resources.
Salary distribution
Where Montana data scientists fall on the wage curve.
Shaded band = interquartile range (where most full-time workers fall)
The middle 50% of workers earn between $90,930 and $114,620, with a median of $106,860.
Data Scientists pay by experience level in Montana
Each band reflects DOL Wage Levels I-IV mapped onto a four-step ladder. Click a level to see the disclosed-wage range for that segment.
Data Scientists in Montana, by industry
Median offered wage across 3 certified filings, grouped by NAICS industry sector. Education leads with a median of $56,826.
| Industry | Largest employer | Filings | Median offer |
|---|---|---|---|
| Education | Montana State University | 1 | $56,826 |
| Finance and insurance | Dye Capital Operating Partners, LLC | 1 | $175,000 |
| Technology and software | Persuit, Inc. | 1 | $100,000 |
Sectors with at least 25 filings link to a dedicated page with full distribution and sample employer breakdown.
Wage trend
Median annual wage in Montana over the past 2 BLS OES releases. Real values are CPI-adjusted to 2024 dollars.
Typical entry
Education
Bachelor's degree
Experience
None
On-the-job training
None
Top skills (O*NET)
Common tasks (O*NET)
10-year outlook
Growth 2024 → 2034
+33.5%
Projected annual openings
—
BLS outlook
Growing much faster than average
Source: BLS Employment Projections, 2024–2034 cycle.
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Frequently asked questions
- What is the median salary for Data Scientists in Montana?
- According to BLS Occupational Employment Statistics, the median annual wage for Data Scientists in Montana is $106,860.
- How does Montana compare to the national median for Data Scientists?
- The Montana median is -7.6% versus the BLS national figure of $115,636.
- What is the salary range for Data Scientists in Montana?
- BLS reports the 10th-percentile annual wage at $75,620 and the 90th-percentile at $162,470, which captures most full-time workers in the role.
- Is Data Scientists a growing field?
- BLS Employment Projections show employment growing by 33.5% over the projection cycle. See the 10-year outlook section above for details.
- What education is required for Data Scientists?
- BLS lists the typical entry-level education as Bachelor's degree. Many employers also weigh prior experience and credentials.
Information on this page is for general educational purposes only. It is not career, financial, or tax advice. Wage data reflects BLS estimates for the reference year shown and may not match individual offers, employer-specific ranges, or current market conditions. Confirm with a licensed professional before making career or compensation decisions.