Hands-on
2026-02 · Machine Learning/Expert
Explore a possible path
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 biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
How does this connect to your interests? →A look at the work
- 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.
- Develop and test experimental designs, sampling techniques, and analytical methods.
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
A selection of source-listed tasks; duties vary by role and employer.
Interests involved in this work
These source scores describe occupational work activities. They are separate from your personal test results.
2.1 / 7
Investigative
2026-02 · Machine Learning/Expert
Creative
2026-02 · Machine Learning/Expert
Helping people
2026-02 · Machine Learning/Expert
Enterprising
2026-02 · Machine Learning/Expert
Organizing
2026-02 · Machine Learning/Expert
Skills to explore
Source-reported importance on a 1–5 scale. Try a course, project or conversation to learn what these skills involve.
Mathematics
Using mathematics to solve problems.
2024-08
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
2024-08
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
2024-08
Active Listening
Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
2024-08
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
2024-08
Speaking
Talking to others to convey information effectively.
2024-08
Active Learning
Understanding the implications of new information for both current and future problem-solving and decision-making.
2024-08
Writing
Communicating effectively in writing as appropriate for the needs of the audience.
2024-08
Science
Using scientific rules and methods to solve problems.
2024-08
Judgment and Decision Making
Considering the relative costs and benefits of potential actions to choose the most appropriate one.
2024-08
Plan a small next step
Talk to someone doing this work, look for a supervised activity, and explore the subjects that interest you. Admission, licensing and current program requirements should be confirmed with the relevant institutions.
Source preparation category: Job Zone 5 of 5 · 2024-08. This category describes typical preparation, not your eligibility.
Related study fields
Source crosswalk connections are research leads, not required qualifications.
Educational Statistics and Research Methods →
Educational Assessment, Testing, and Measurement →
Educational Assessment, Evaluation, and Research, Other →
Epidemiology and Biostatistics →
Applied Mathematics, General →
Computational and Applied Mathematics →
Mathematical Statistics and Probability →
Explore all related study fields →Source & methodology
O*NET-SOC code 15-2041.00 · Database 31.0 · Retrieved Oct 14, 2026. Dates on individual observations describe their source periods.
How interest exploration matching works →Data: O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration. Used under CC BY 4.0. StudyIndex normalizes the presentation and adds exploration features; USDOL/ETA has not approved, endorsed or tested these additions.