Data Scientists
Computer and Mathematical · SOC 15-2051
AI exposure from the Anthropic Economic Index (2025); salary from BLS; skills from O*NET. See /sources.
Decision card
Career Evidence Passport
SOC 15-2051 evidence across exposure, wages, projections, postings, certified LCAs, skills, and transitions.
- SOC exposure
- 46.1%
- Very High · Anthropic AEI
- Automation friction
- 27/100
- Low friction; broad SOC seed ORS job-requirements coverage.
- Wages
- $120,230
- H-1B offered wage $120,120; LCAs are filings.
- Projected openings
- —
- BLS EP 2024–2034; employment change +33.5%.
- Observed/proxy demand
- 31,820
- FY2025 certified LCAs; 5,882 postings in 2025.
Skill evidence
Transition context
- H-1B values are certified Labor Condition Applications, not visa approvals.
- Job postings are seed-static / seed-derived; treat as provider-ready proxy coverage until observed provider data is wired in.
- Transition matches are directional skill-overlap context, not placement guarantees.
- This release is a FutureGrid broad-SOC seed derived from public BLS ORS requirement concepts and categories, not direct occupation-level ORS survey estimates. It describes job requirements, not worker ability, AI capability, or displacement probability. Automation friction is a FutureGrid derived score and should be read alongside exposure, demand, wage, and projection signals.
Best transitions from here
Explore all pathways→Lower AI-exposure roles that reuse your skills, ranked by a transition score (skills that transfer, safety gain, pay and retraining effort).
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AI Exposure Analysis
Across AI measures
Multiple exposure lenses for this occupation.
AI could do ~69.5% of this role but only ~46.1% is currently done with AI — a large capability-vs-adoption gap.
Top Skills
H-1B Visa Sponsorship Demand
View full H-1B trends →Certified H-1B Labor Condition Applications naming this occupation, FY2016–FY2025. A descriptive high-skill labor-demand signal — employer filings, not visa approvals or individual outcomes. Note: one LCA can cover multiple worker positions.
O*NET occupation profile
What this work involves
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Representative Tasks
- •Analyze, manipulate, or process large sets of data using statistical software.
- •Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- •Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- •Clean and manipulate raw data using statistical software.
- •Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
Detailed Work Activities
- •Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- •Advise others on analytical techniques.
- •Analyze business or financial data.
- •Analyze data to identify or resolve operational problems.
- •Analyze data to identify trends or relationships among variables.
Tools & Technologies
Employment Projections & AI Exposure
Employment & Wage Trend
BLS OEWS, 2019–2025
Source: U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). See /sources.
Sector Comparison
| Metric | This Career | Sector Average |
|---|---|---|
| AI Exposure | 46.1% | 35.3% |
| Outlook | Average | 19% Bright |
| Median Salary | $120,230 | N/A |
| AI Resiliency | 54/100 | N/A |