Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.0% by 2034)
- 300 openings/yr
- High AI exposure
- Median pay $71,490/yr
Occupation · SOC 15-2099.00
All mathematical scientists not listed separately.
Also called: Balance Engineer · Cryptanalyst · Cryptologist · Geometer · Geometrician · Harmonic Analyst · Mathematical Engineering Technician · Mathematical Scientist · Mathematics Technician · Research Analyst · Secret Code Expert · Weight Analyst
Job family: Computer and Mathematical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-15-2099-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Independent published positions, read together — not a forecast.
97th-percentile task overlap — yet about 300 openings a year (+4% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
This is a broad “All Other” catch-all that groups many different jobs, so treat the figures below as a rough average for the category, not a precise estimate for any single role within it.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 89th | 1.0 | |
| AI assistant applicability (Microsoft) High | 96th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.8), with simple added tooling (β 0.9), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.0% by 2034 |
| Projected annual openings | 300 |
| Employment 2024 → 2034 | 5,000 → 5,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Statistical, Mathematical and Related Associate Professionals · 3314 | 57% | Gradient 3 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
What to study: Biological and Biomedical Sciences , Mathematics and Statistics , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
U.S. · annual wages (BLS OEWS)
| 10th percentile | $40,330 |
| 25th percentile | $52,440 |
| Median (50th) | $71,490 |
| 75th percentile | $101,920 |
| 90th percentile | $154,140 |
| People employed | 4,660 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 1,540 | $77,910 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 460 | $73,960 |
| Management of Companies and Enterprises · Sector | 280 | $78,870 |
| Educational Services · Sector | 280 | $77,130 |
| Manufacturing · Sector | 190 | $79,810 |
| Temporary Help Services · National industry | 150 | $63,500 |
| Finance and Insurance · Sector | 110 | $66,560 |
| Other Services (except Public Administration) · Sector | 100 | $78,840 |
| Health Care and Social Assistance · Sector | 90 | $73,420 |
| Wholesale Trade · Sector | 60 | $155,160 |
| Direct Health and Medical Insurance Carriers · National industry | 40 | $49,660 |
| Engineering Services · National industry | — | $80,960 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 4.73× | 1,540 |
| Management of Companies and Enterprises · Sector | 3.3× | 280 |
| Temporary Help Services · National industry | 1.87× | 150 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1.69× | 460 |
| Other Services (except Public Administration) · Sector | 0.75× | 100 |
| Educational Services · Sector | 0.68× | 280 |
| Finance and Insurance · Sector | 0.58× | 110 |
| Manufacturing · Sector | 0.49× | 190 |
Options the data surfaces for Mathematical Science Occupations, All Other — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 94th percentile of 427 international occupations.
Mathematical Science Occupations, All Other show 97th-percentile AI task overlap — and about 300 annual U.S. openings
Mathematical Science Occupations, All Other show 97th-percentile AI task overlap — and about 300 annual U.S. openings • Mathematical Science Occupations, All Other rank in the 97th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $71,490, across about 4,660 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Mathematical Science Occupations, All Other". https://singulariki.com/roles/role-15-2099-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Singulariki. "Mathematical Science Occupations, All Other." 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; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022. Accessed June 7, 2026. https://singulariki.com/roles/role-15-2099-00
Singulariki. (2026). Mathematical Science Occupations, All Other. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-2099-00
@misc{singulariki-role-15-2099-00,
title = {Mathematical Science Occupations, All Other},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-2099-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.