data sets jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, data sets appears in 88 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning data sets.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about data sets
+Is data sets in demand in 2026?
Yes. data sets appears in 88 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning data sets (14.8% of all postings mentioning data sets).
+What jobs require data sets?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning data sets are AI Analyst (6.9% of that role’s postings mention data sets), GNC Engineer (4.8% of that role’s postings mention data sets), AI Research Intern (4.2% of that role’s postings mention data sets).
+What skills are commonly paired with data sets?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), data sets most often appears alongside Python, Data analysis, SQL, machine learning, C++.
+Where is data sets most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring data sets are San Francisco, London, Seattle, Sunnyvale, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new data sets content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data sets alongside the jobs index. You can subscribe to a daily email digest of new data sets content from your Skillenai account.
+Which skills come before and after data sets?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring data sets — last 90 days
Career paths around data sets
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data sets
Skills after data sets
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: sql | 4 |
| Before: ETL | 2 |
| Before: python | 2 |
| Before: Power BI | 2 |
| Before: reports | 2 |
| Before: Microsoft Excel | 2 |
| Before: logos | 1 |
| Before: Adobe Creative Suite | 1 |
| After: phone | 2 |
| After: classroom technology | 2 |
| After: in-person | 2 |
| After: Azure Data Factory | 2 |
| After: Azure | 2 |
| After: Information Technology | 2 |
| After: oracle | 2 |
| After: email | 2 |
Roles most likely to require data sets
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Analyst | 2 | 6.9% |
| GNC Engineer | 1 | 4.8% |
| AI Research Intern | 1 | 4.2% |
| Financial Data Analyst | 1 | 2.6% |
| AI Training Expert | 1 | 1.5% |
| Quantitative Developer | 1 | 1.2% |
| Analytics Consultant | 1 | 0.9% |
| Analyst | 1 | 0.7% |
| Quantitative Researcher | 1 | 0.6% |
| Research Engineer | 3 | 0.5% |
Roles with the most data sets postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 13 | 14.8% |
| Software Engineer | 12 | 13.6% |
| Product Manager | 4 | 4.5% |
| Business Analyst | 3 | 3.4% |
| Machine Learning Engineer | 3 | 3.4% |
| Program Manager | 3 | 3.4% |
| Research Engineer | 3 | 3.4% |
| AI Analyst | 2 | 2.3% |
| Data Analyst | 2 | 2.3% |
| Data Engineer | 2 | 2.3% |
Top companies posting jobs requiring data sets
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Scale AI | 5 |
| Aaru | 3 |
| NielsenIQ | 3 |
| Cisco | 3 |
| xAI | 2 |
| Applied Intuition | 2 |
| Xometry | 2 |
| Applied | 2 |
| Microsoft | 2 |
| Foleon | 2 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for data sets
| Name | Postings | Share |
|---|---|---|
| San Francisco | 7 | 8.0% |
| London | 6 | 6.8% |
| Seattle | 3 | 3.4% |
| Sunnyvale | 3 | 3.4% |
| Bengaluru | 2 | 2.3% |
| New Britain | 2 | 2.3% |
| Richmond | 2 | 2.3% |
| San Jose | 2 | 2.3% |
| Amsterdam | 1 | 1.1% |
Skills commonly paired with data sets
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 data sets by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data sets postings by all data sets 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- cc5653bac9770091
- data_as_of
- 2026-09-30
- 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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