Statisticians
Computer and Mathematical · SOC 15-2041
AI exposure from the Anthropic Economic Index (2025); salary from BLS; skills from O*NET. See /sources.
Decision card
Career Evidence Passport
SOC 15-2041 evidence across exposure, wages, projections, postings, certified LCAs, skills, and transitions.
- SOC exposure
- 21.1%
- High · Anthropic AEI
- Automation friction
- 48/100
- Moderate friction; broad SOC seed ORS job-requirements coverage.
- Wages
- $105,650
- H-1B offered wage $129,759; LCAs are filings.
- Projected openings
- 5,300
- BLS EP 2024–2034; employment change +8.5%.
- Observed/proxy demand
- 3,976
- FY2025 certified LCAs; 8,429 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).
Actuaries
Skills to build:
Cost Estimators
Skills to build:
Chemical Engineers
Skills to build:
AI Exposure Analysis
Across AI measures
Multiple exposure lenses for this occupation.
AI could do ~72.5% of this role but only ~21.1% 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 or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
Common titles: Database Analyst, Demographer, Education Research Analyst, Mathematical Statistician, Psychometric Consultant, Quantitative Methodologist
Representative Tasks
- •Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- •Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- •Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- •Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- •Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
Detailed Work Activities
- •Determine appropriate methods for data analysis.
- •Analyze data to identify trends or relationships among variables.
- •Evaluate project designs to determine adequacy or feasibility.
- •Prepare analytical reports.
- •Evaluate technical data to determine effect on designs or plans.
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 | 21.1% | 35.3% |
| Outlook | Bright ↗ | 19% Bright |
| Median Salary | $105,650 | N/A |
| AI Resiliency | 79/100 | N/A |