Statisticians
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 bio-statistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
How AI Impacts Each Task
20 tasks analyzed
Identify relationships and trends in data, as well as any factors that could affect the results of research.
Report results of statistical analyses, including information in the form of graphs, charts, and tables.
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
Develop software applications or programming to use for statistical modeling and graphic analysis.
Develop and test experimental designs, sampling techniques, and analytical methods.
Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
Process large amounts of data for statistical modeling and graphic analysis, using computers.
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.
Supervise and provide instructions for workers collecting and tabulating data.
Evaluate sources of information to determine any limitations, in terms of reliability or usability.
Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
Report results of statistical analyses in peer-reviewed papers and technical manuals.
Prepare and structure data warehouses for storing data.
Determine whether statistical methods are appropriate based on user needs or on research questions of interest.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Identify relationships and trends in data, as well as any factors that could affect the results of research. | 50.35Observed | 47.1% | 10% | |
| Report results of statistical analyses, including information in the form of graphs, charts, and tables. | 50.75Observed | 69.5% | 6% | |
| Analyze and interpret statistical data to identify significant differences in relationships among sources of information. | 65Estimated | 53.0% | 10% | |
| Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. | 45Estimated | 45.0% | 6% | |
| Develop software applications or programming to use for statistical modeling and graphic analysis. | 62.62Observed | 52.1% | 6% | |
| Develop and test experimental designs, sampling techniques, and analytical methods. | 61.68Observed | 51.7% | 6% | |
| Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. | 38.68Observed | 64.7% | 8% | |
| Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used. | 50Estimated | 47.0% | 5% | |
| Process large amounts of data for statistical modeling and graphic analysis, using computers. | 54.52Observed | 71.0% | 6% | |
| Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. | 50Estimated | 47.0% | 5% | |
| Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. | 59.4Observed | 50.8% | 5% | |
| Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. | 30Estimated | 27.0% | 4% | |
| Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate. | 59.15Observed | 50.7% | 3% | |
| Supervise and provide instructions for workers collecting and tabulating data. | 20Estimated | 23.0% | 3% | |
| Evaluate sources of information to determine any limitations, in terms of reliability or usability. | 42.75Observed | 44.1% | 3% | |
| Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed. | 90Estimated | 85.2% | 3% | |
| Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data. | 54.37Observed | 48.8% | 2% | |
| Report results of statistical analyses in peer-reviewed papers and technical manuals. | 51.18Observed | 47.5% | 2% | |
| Prepare and structure data warehouses for storing data. | 60Estimated | 51.0% | 3% | |
| Determine whether statistical methods are appropriate based on user needs or on research questions of interest. | 50Estimated | 47.0% | 4% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Programming is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
Recommended Courses
Courses matched to Statisticians skill gaps, ranked by relevance to your displacement risk profile.
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Upskill to Reduce Risk
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Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
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Score History
Risk score over 3 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis