probability jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, probability appears in 384 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning probability, with demand down 6% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about probability
+Is probability in demand in 2026?
Yes. probability appears in 384 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 6% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning probability (22.4% of all postings mentioning probability).
+What jobs require probability?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning probability are Scientific Software Engineer (41.7% of that role’s postings mention probability), Algorithm Engineer (17.6% of that role’s postings mention probability), Quantitative Research Intern (13.0% of that role’s postings mention probability).
+What skills are commonly paired with probability?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), probability most often appears alongside Python, statistics, linear algebra, machine learning, C++.
+Where is probability most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring probability are San Francisco, New York City, Waltham, London, Broomfield, according to the Skillenai jobs index.
+How can I keep up with new probability content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning probability alongside the jobs index. You can subscribe to a daily email digest of new probability content from your Skillenai account.
Weekly job postings requiring probability — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require probability
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Scientific Software Engineer | 10 | 41.7% |
| Algorithm Engineer | 6 | 17.6% |
| Quantitative Research Intern | 3 | 13.0% |
| Senior Data Scientist | 2 | 7.7% |
| Machine Learning Systems Engineer | 2 | 7.4% |
| ML Scientist | 2 | 6.9% |
| Applied Scientist | 13 | 5.2% |
| Machine Learning Researcher | 2 | 5.1% |
| Quantitative Trader | 3 | 4.9% |
| Tech Lead Manager | 1 | 4.8% |
Roles with the most probability postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 86 | 22.4% |
| Data Scientist | 43 | 11.2% |
| Machine Learning Engineer | 37 | 9.6% |
| Research Scientist | 20 | 5.2% |
| Applied Scientist | 13 | 3.4% |
| ML Engineer | 13 | 3.4% |
| Scientific Software Engineer | 10 | 2.6% |
| Algorithm Developer | 8 | 2.1% |
| Research Engineer | 8 | 2.1% |
| Data Analyst | 7 | 1.8% |
Top metros hiring for probability
| Name | Postings | Share |
|---|---|---|
| San Francisco | 20 | 5.2% |
| New York City | 19 | 4.9% |
| Waltham | 17 | 4.4% |
| London | 16 | 4.2% |
| Broomfield | 11 | 2.9% |
| Washington | 11 | 2.9% |
| Fort Collins | 8 | 2.1% |
| Huntsville | 6 | 1.6% |
| San Jose | 6 | 1.6% |
Skills commonly paired with probability
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning probability by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s probability postings by all probability postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 7ccbd93edc9f5f78
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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