Statisticians
SOC Code: 15-2041
Statisticians carries a 62% AI exposure score (Very High automation risk), with a median annual wage of $103,300 and +8.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 32,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Statisticians (SOC 15-2041) carries an AI exposure score of 62%, placing it in the Very High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 32,200 workers in this occupation in 2024, and projects a +8.5% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $103,300, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Master's degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Statisticians. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- 2. Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- 3. Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- 4. Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- 5. Draw conclusions or make predictions, based on data summaries or statistical analyses.
- 6. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- 7. Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
- 8. Develop and test experimental designs, sampling techniques, and analytical methods.
- 9. Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
- 10. Calculate sample size requirements for clinical studies.
Key Skills Required
- Mathematics
- Reading Comprehension
- Speaking
- Science
- Critical Thinking
- Active Learning
- Complex Problem Solving
- Judgment and Decision Making
- Active Listening
- Writing
Knowledge Areas
- Mathematics
- English Language
- Computers and Electronics
- Medicine and Dentistry
- Biology
- Education and Training
- Customer and Personal Service
- Administration and Management
- Psychology
- Administrative
Frequently Asked Questions
Will AI replace Statisticians?
Statisticians has an AI exposure score of 62%, indicating a very high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Statisticians?
According to BLS Employment Projections 2024-2034, Statisticians is projected to grow by 8.5% over the decade. Current employment stands at approximately 32,200 workers.
What skills are needed for Statisticians?
Key skills for Statisticians include Mathematics, Reading Comprehension, Speaking, and others. Typical entry-level education is Master's degree.
How much do Statisticians earn?
The median annual wage for Statisticians is $103,300, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Statisticians?
The typical entry-level education for Statisticians is Master's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Statisticians?
Statisticians roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Very High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).