statistics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, statistics appears in 1,554 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning statistics, with demand down 36% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about statistics
+Is statistics in demand in 2026?
Yes. statistics appears in 1,554 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 36% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning statistics (18.7% of all postings mentioning statistics).
+What jobs require statistics?
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 statistics are Algorithm Engineer (52.9% of that role’s postings mention statistics), Scientific Software Engineer (45.8% of that role’s postings mention statistics), Software Developer Intern (36.1% of that role’s postings mention statistics).
+What skills are commonly paired with statistics?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), statistics most often appears alongside Python, machine learning, SQL, Data analysis, probability.
+Where is statistics most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring statistics are New York City, San Francisco, London, Singapore, Broomfield, according to the Skillenai jobs index.
+How can I keep up with new statistics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning statistics alongside the jobs index. You can subscribe to a daily email digest of new statistics content from your Skillenai account.
Weekly job postings requiring statistics — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require statistics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Algorithm Engineer | 18 | 52.9% |
| Scientific Software Engineer | 11 | 45.8% |
| Software Developer Intern | 13 | 36.1% |
| Quantitative Research Intern | 8 | 34.8% |
| Quantitative Researcher | 32 | 18.6% |
| Product Data Scientist | 11 | 17.5% |
| Machine Learning Manager | 4 | 17.4% |
| Operations Engineer | 12 | 15.2% |
| Marketing Analyst | 9 | 13.6% |
| Senior Data Scientist | 3 | 11.5% |
Roles with the most statistics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 291 | 18.7% |
| Software Engineer | 111 | 7.1% |
| Machine Learning Engineer | 89 | 5.7% |
| Data Analyst | 79 | 5.1% |
| Research Scientist | 55 | 3.5% |
| Systems Engineer | 40 | 2.6% |
| Quantitative Researcher | 32 | 2.1% |
| Product Manager | 29 | 1.9% |
| ML Engineer | 27 | 1.7% |
| Research Engineer | 25 | 1.6% |
Top metros hiring for statistics
| Name | Postings | Share |
|---|---|---|
| New York City | 87 | 5.6% |
| San Francisco | 53 | 3.4% |
| London | 48 | 3.1% |
| Singapore | 28 | 1.8% |
| Broomfield | 27 | 1.7% |
| Toronto | 26 | 1.7% |
| Mountain View | 23 | 1.5% |
| Waltham | 22 | 1.4% |
| Amsterdam | 21 | 1.4% |
Skills commonly paired with statistics
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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 statistics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s statistics postings by all statistics 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
- 7c9105f4c26cbfc1
- 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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