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Human Factors Engineers and Ergonomists vs Data Scientists

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Human Factors Engineers and Ergonomists and Data Scientists on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Human Factors Engineers and Ergonomists Data Scientists
Median pay · BLS OEWS
$101,140
$112,590
Employment · BLS OEWS
350,230
233,440
AI exposure (percentile) · task overlap, not automation
81st pct
98th pct

At a glance

Dimension Human Factors Engineers and Ergonomists Data Scientists
Median pay $101,140 $112,590
Employment 350,230 233,440
Employment outlook (2024–34) · BLS projection Growing fast (+11.0%) Growing fast (+33.5%)
Annual openings · BLS projection 25,200 23,400
Typical education · O*NET Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies High · 81st pct High · 98th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 68th pct · 37% of tasks —
Observed AI use · Anthropic Economic Index Augmentation-leaning (57.2%) —
Mostly remote-capable · Dingel–Neiman Yes —

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Specific to Human Factors Engineers and Ergonomists

  • Psychology
  • Reading Comprehension
  • Active Listening
  • Writing
  • Speaking
  • Critical Thinking
  • Complex Problem Solving
  • English Language

Specific to Data Scientists

    Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

    Tools & technology

    Shared: Spreadsheet software , Presentation software , Web platform development software , Content workflow software , Object or component oriented development software , Enterprise application integration software , Analytical or scientific software , Operating system software , Development environment software .

    Specific to Human Factors Engineers and Ergonomists

    Specific to Data Scientists

    Full profiles

    This page is a summary. See the complete source-backed profile for Human Factors Engineers and Ergonomists or Data Scientists — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

    More comparisons

    Related occupations you can place side by side on the same sourced scale.

    Sources for this page

    Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

    Data compiled June 2, 2026. Figures are estimates, not advice.

    Cite this page
    Plain

    Singulariki. "Human Factors Engineers and Ergonomists vs Data Scientists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/human-factors-engineers-and-ergonomists-vs-data-scientists

    APA

    Singulariki. (2026). Human Factors Engineers and Ergonomists vs Data Scientists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/human-factors-engineers-and-ergonomists-vs-data-scientists

    BibTeX 
    @misc{singulariki-human-factors-engineers-and-ergonomists-vs-data-scientists,
  title  = {Human Factors Engineers and Ergonomists vs Data Scientists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/human-factors-engineers-and-ergonomists-vs-data-scientists}
}

    Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.