Career Outlook
Data Scientists
BLS employment projections 2024–2034 · SOC 15-2051
Projected Growth
+33.5%
2024–2034
Annual Openings
23,400
projected/year
Median Salary
$120K
annual (BLS 2025)
Current Employment
245,900
workers (2024 projections base)
The Data Scientists career outlook (SOC 15-2051) combines two separate BLS data products: Employment Projections for 2024-2034 trajectory, and Occupational Employment and Wage Statistics from May 2025 for current pay. Projected employment change is +33.5% over the decade, which we classify as much faster than average versus the all-occupations baseline of 3.1%. That places it 30.4 percentage points above the national average across all occupations. Annual openings combining growth, retirement replacement, and transfers are projected at 23,400 per year.
Current workforce size (2024 base) is 245,900, projected to reach 328,300 by 2034, a net gain of 82,500 jobs. Median pay sits at $120,230 per year ($57.80/hr), with an observed 10th-to-90th percentile spread from $67,240 to $199,130. OEWS does not classify those percentile boundaries by career stage. Typical entry-level credential is Bachelor's degree.
How to read these projections
Growth projections are directional indicators, not guarantees. BLS revises these annually based on updated demographic, technology, and policy inputs, the 2024-2034 projections already factor in assumptions about AI adoption, remote-work normalization, demographic aging, energy transition, and post-pandemic industry shifts, but unforeseen disruptions (recessions, breakthrough technologies, policy changes) can reshape numbers this far out. When treating this page as career-decision evidence, pair the growth percentage with annual openings (small occupations growing fast can still offer few actual entry points, while large occupations growing slowly can offer thousands of replacement opportunities), use the percentile band to understand the reported wage distribution, and check whether the credential requirements match your current educational investment. Entry and experienced work-level pay require separate evidence. The "Similar Occupations" list below highlights adjacent SOC codes worth considering as comparison anchors or alternative pathways.
Job Growth Projection
+33.5%
Much faster than average
vs. national average (3.1%)
+30.4% above
2024 Employment
245,900
Change
+82,500
2034 Projected
328,300
Entry Requirements
Typical Education
Bachelor's degree
Work Experience Required
None
On-the-Job Training
None
Salary Data (BLS 2025)
| Percentile | Annual |
|---|---|
| 10th Percentile | $67,240 |
| 25th Percentile | $85,660 |
| Median (50th) | $120,230 |
| 75th Percentile | $158,880 |
| 90th Percentile | $199,130 |
| Mean (Average) | $126,800 |
Frequently Asked Questions
Is Data Scientists a growing field?
Data Scientists is projected to grow by 33.5% from 2024 to 2034, which is much faster than average. The national average across all tracked occupations is about 3.1%.
What education do Data Scientists need?
The typical entry-level education requirement for Data Scientists is: Bachelor's degree. Work experience required: None. On-the-job training: None.
How many Data Scientists jobs will be available?
There are approximately 23,400 annual job openings projected for Data Scientists, which includes new positions due to growth plus openings from workers who retire or change occupations.
What is the median salary for Data Scientists?
The median annual salary for Data Scientists is $120,230 ($57.80/hr), based on BLS OEWS May 2025 data. Half of workers earn more and half earn less than this amount.
Similar Career Paths
Occupations in SOC major group 15 with comparable growth and entry requirements.
Last updated: May 2025 (BLS OEWS annual release). Source: Bureau of Labor Statistics, Employment Projections 2024–2034. Salary data: BLS OEWS May 2025.
Source data and WageDex calculations are identified in context on this page. Outlook fields use BLS Employment Projections for 2024–2034; wage fields use BLS OEWS May 2025; safety fields cite BLS CFOI/SOII. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.