Data Scientist jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-10-01, Skillenai has indexed 5,564 job postings with the title “Data Scientist” over the past 90 days. The skill mentioned most often is Python, with demand share down 2.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-01
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Frequently asked questions about Data Scientist jobs
+How many Data Scientist jobs are being posted in 2026?
Skillenai has indexed 5,564 job postings with the title “Data Scientist” over the 90 days ending 2026-10-01.
+What skills do Data Scientist jobs require?
Across Data Scientist postings indexed by Skillenai over the 90 days ending 2026-10-01, the skills mentioned most often are Python, SQL, machine learning, R, data visualization.
+Which cities are hiring the most Data Scientist?
As of 2026-10-01, Data Scientist postings indexed by Skillenai are concentrated in San Francisco, New York City, London, Washington, Singapore.
+Is Data Scientist a good career path right now?
Skillenai indexes 5,564 Data Scientist postings over the 90 days ending 2026-10-01. The skill mentioned most often in Data Scientist postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new Data Scientist job postings as they’re indexed?
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+What roles do people move into and out of Data Scientist?
The career-flow chart shows roles before and after observed employer changes across all locations. Counts are moves, not distinct people or promotion probabilities. Same-role moves to another employer are included. The incoming and outgoing sides are separate groups of observations, not a matched three-stage journey.
Weekly indexed Data Scientist postings — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths through Data Scientist
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
9,695 employer moves kept the same role.
Roles before Data Scientist
Roles after Data Scientist
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.
Same role means a change of employer while keeping the same role. Counts are moves, not distinct people, promotions, or your chances of making a particular move.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: Data Scientist (different employer) | 9,695 |
| Before: Software Engineer | 2,292 |
| Before: Data Analyst | 2,223 |
| Before: Research Assistant | 906 |
| Before: ML Engineer | 713 |
| Before: Teaching Assistant | 509 |
| Before: Data Engineer | 416 |
| Before: Research Scientist | 330 |
| After: Data Scientist (different employer) | 9,695 |
| After: Software Engineer | 2,390 |
| After: Data Analyst | 1,422 |
| After: ML Engineer | 813 |
| After: Data Engineer | 592 |
| After: Machine Learning Engineer | 387 |
| After: Research Assistant | 361 |
| After: Teaching Assistant | 282 |
Skills most often required for Data Scientist
| Name | Postings | Share |
|---|---|---|
| Python | 3,314 | 59.6% |
| SQL | 2,525 | 45.4% |
| machine learning | 2,025 | 36.4% |
| R | 1,151 | 20.7% |
| data visualization | 803 | 14.4% |
| scikit-learn | 636 | 11.4% |
| PyTorch | 599 | 10.8% |
| A/B testing | 568 | 10.2% |
| causal inference | 542 | 9.7% |
| AWS | 525 | 9.4% |
| Tableau | 523 | 9.4% |
| pandas | 520 | 9.3% |
| Spark | 513 | 9.2% |
| Statistical modeling | 512 | 9.2% |
| TensorFlow | 510 | 9.2% |
Top companies posting Data Scientist jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 59 |
| Bah | 53 |
| Grab | 53 |
| NielsenIQ | 47 |
| Elsevier | 44 |
| CACI | 40 |
| Mastercard | 39 |
| Stripe | 39 |
| PwC | 38 |
| Amgen | 37 |
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 Data Scientist
| Name | Postings | Share |
|---|---|---|
| San Francisco | 174 | 3.1% |
| New York City | 168 | 3.0% |
| London | 166 | 3.0% |
| Washington | 98 | 1.8% |
| Singapore | 93 | 1.7% |
| Toronto | 92 | 1.7% |
| Chicago | 88 | 1.6% |
| Bengaluru | 87 | 1.6% |
| Atlanta | 74 | 1.3% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01, matching postings whose canonical role is “Data Scientist”. Pages refresh weekly (or daily for the top-50 most-posted roles). Adjusted posting share: 2.5% to 2.4%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,593 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- role
- Data Scientist
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-10-01
- 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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