Mathematical science occupations, all other
All mathematical scientists not listed separately.
BLS SOC 15-2099 · O*NET-SOC 15-2099.00 · BLS 2025–2035 · O*NET 31.0
Median annual wage, 2025
$81,490
Projected change, 2025–2035
7.1%
2025–2035 annual average openings
200
AI exposure
Very high
Editorial analysis
AI expands the mathematician's toolbox without removing the need for mathematical thinking
Mathematical science roles outside the major named specialties can involve modeling, statistics, optimization, simulation, algorithms, and highly specialized quantitative work. AI can help write code, manipulate symbolic expressions, search technical literature, generate examples, and explore possible solutions.
Getting an answer is not the same as knowing why it is valid
AI systems can produce equations and explanations that look convincing while containing subtle mistakes. In mathematical work, those mistakes can propagate through an entire analysis. People who understand the underlying theory are needed to verify assumptions, identify invalid reasoning, and determine whether a solution generalizes.
- Routine symbolic and computational work can accelerate.
- Researchers can experiment with more modeling approaches.
- AI can make advanced mathematical methods accessible to more non-specialists.
- Proof, validation, abstraction, and choosing the correct mathematical representation remain high-value skills.
Labor-market picture
Two measures, different questions
These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.
Employment
- Employment, 2025
- 4,000 jobs
- Projected employment, 2035
- 4,200 jobs
- Projected change, 2025–2035
- 300 jobs (7.1%)
Relative AI exposure
BLS category: Very high. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.
Relative AI exposure · Very high
Work profile
Representative tasks
These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.
No O*NET tasks are available until this mapping is resolved.
Skills that matter
Skills in the source profile
Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.
No O*NET skills are available until this mapping is resolved.
Technology and tools
These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.
No technology or tool entries are available for this profile.
Preparation
- Typical entry education
- Bachelor's degree
- Related experience
- None
- On-the-job training
- None
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Source provenance
Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.