regression jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, regression appears in 702 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning regression, with demand down 40% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about regression
+Is regression in demand in 2026?
Yes. regression appears in 702 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 40% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning regression (40.7% of all postings mentioning regression).
+What jobs require regression?
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 regression are Product Data Scientist (19.0% of that role’s postings mention regression), Data Science Analyst (8.6% of that role’s postings mention regression), People Analytics Analyst (7.7% of that role’s postings mention regression).
+What skills are commonly paired with regression?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), regression most often appears alongside Python, SQL, classification, machine learning, clustering.
+Where is regression most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring regression are Bengaluru, London, Berlin, New York City, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new regression content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning regression alongside the jobs index. You can subscribe to a daily email digest of new regression content from your Skillenai account.
Weekly job postings requiring regression — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require regression
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Product Data Scientist | 12 | 19.0% |
| Data Science Analyst | 3 | 8.6% |
| People Analytics Analyst | 2 | 7.7% |
| Senior Data Scientist | 2 | 7.7% |
| BI Analyst | 2 | 5.7% |
| Data Scientist | 286 | 5.2% |
| Principal Data Scientist | 2 | 5.1% |
| Data Analytics Analyst | 1 | 5.0% |
| Data Scientist Intern | 4 | 4.8% |
| Data Science Engineer | 2 | 4.8% |
Roles with the most regression postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 286 | 40.7% |
| Data Analyst | 55 | 7.8% |
| Machine Learning Engineer | 48 | 6.8% |
| Product Data Scientist | 12 | 1.7% |
| Product Data Science Manager | 11 | 1.6% |
| ML Engineer | 10 | 1.4% |
| Data Science Manager | 8 | 1.1% |
| AI Engineer | 7 | 1.0% |
| AI/ML Engineer | 6 | 0.9% |
| Product Analyst | 6 | 0.9% |
Top metros hiring for regression
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 28 | 4.0% |
| London | 22 | 3.1% |
| Berlin | 13 | 1.9% |
| New York City | 12 | 1.7% |
| San Francisco | 10 | 1.4% |
| Toronto | 10 | 1.4% |
| Boston | 8 | 1.1% |
| Chicago | 8 | 1.1% |
| Denver | 8 | 1.1% |
Skills commonly paired with regression
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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 regression by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s regression postings by all regression 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
- 69052180f27c2fc1
- 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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