# 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.

- **SOC code:** 15-2041.00
- **Canonical URL:** https://singulariki.com/roles/role-15-2041-00
- **Also known as:** Database Analyst, Mathematical Statistician, Statistical Analyst, Statistician, Demographer, Education Research Analyst, Psychometric Consultant, Quantitative Methodologist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mathematics _(essential_skill)_
- Mathematical Reasoning _(ability)_
- Mathematics _(knowledge)_
- Number Facility _(ability)_
- Computers and Electronics _(knowledge)_
- Written Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Written Expression _(ability)_
- Inductive Reasoning _(ability)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- English Language _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Learning _(Common Skill)_
- Microsoft Excel _(Common Skill)_

**Tools & technology:**
- IBM SPSS Statistics _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Python _(hot technology, in demand)_
- R _(hot technology, in demand)_
- SAS _(hot technology, in demand)_
- Structured query language SQL _(hot technology, in demand)_
- Tableau _(hot technology, in demand)_
- Amazon Redshift _(hot technology)_
- Amazon Web Services AWS software _(hot technology)_
- Apache Hadoop _(hot technology)_
- Apache Spark _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 99th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 95th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 92nd percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 34th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 8.5% growth (Growing fast); 2k annual openings; 32.2k → 34.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $103,300; 29,800 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 40% automation, 54% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Evaluate sources of information to determine any limitations in terms of reliability or usability. _(5.5% of measured AI use; validation)_
- Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data. _(4.2% of measured AI use; directive)_
- Report results of statistical analyses, including information in the form of graphs, charts, and tables. _(3.5% of measured AI use; directive)_
- Develop and test experimental designs, sampling techniques, and analytical methods. _(2.1% of measured AI use; learning)_
- Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate. _(1.9% of measured AI use; learning)_
- Develop software applications or programming to use for statistical modeling and graphic analysis. _(1.6% of measured AI use; directive)_
- Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. _(1.5% of measured AI use; directive)_
- Report results of statistical analyses in peer-reviewed papers and technical manuals. _(1.4% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me evaluate sources of information to determine any limitations in terms of reliability or usability.
- Help me prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
- Help me report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Help me develop and test experimental designs, sampling techniques, and analytical methods.
- Help me develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-15-2041-00_