Applied Scientist jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-09-30, Skillenai has indexed 252 job postings with the title “Applied Scientist” over the past 90 days. The skill mentioned most often is Python, with demand share down 5.0% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Applied Scientist jobs
+How many Applied Scientist jobs are being posted in 2026?
Skillenai has indexed 252 job postings with the title “Applied Scientist” over the 90 days ending 2026-09-30.
+What skills do Applied Scientist jobs require?
Across Applied Scientist postings indexed by Skillenai over the 90 days ending 2026-09-30, the skills mentioned most often are Python, machine learning, PyTorch, deep learning, SQL.
+Which cities are hiring the most Applied Scientist?
As of 2026-09-30, Applied Scientist postings indexed by Skillenai are concentrated in San Jose, Berlin, London, New York City, Seattle.
+Is Applied Scientist a good career path right now?
Skillenai indexes 252 Applied Scientist postings over the 90 days ending 2026-09-30. The skill mentioned most often in Applied Scientist postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new Applied Scientist job postings as they’re indexed?
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+What roles do people move into and out of Applied 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 Applied Scientist postings — last 90 days
Career paths through Applied Scientist
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
80 employer moves kept the same role.
Roles before Applied Scientist
Roles after Applied 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: Applied Scientist (different employer) | 80 |
| Before: Research Assistant | 71 |
| Before: Data Scientist | 55 |
| Before: Research Scientist | 37 |
| Before: Research Intern | 34 |
| Before: Software Engineer | 21 |
| Before: Teaching Assistant | 16 |
| Before: Machine Learning Engineer | 15 |
| After: Applied Scientist (different employer) | 80 |
| After: Research Scientist | 22 |
| After: Data Scientist | 20 |
| After: Machine Learning Engineer | 8 |
| After: Research Assistant | 7 |
| After: Research Intern | 7 |
| After: Software Engineer | 6 |
| After: Research Engineer | 5 |
Skills most often required for Applied Scientist
| Name | Postings | Share |
|---|---|---|
| Python | 145 | 57.5% |
| machine learning | 118 | 46.8% |
| PyTorch | 74 | 29.4% |
| deep learning | 45 | 17.9% |
| SQL | 37 | 14.7% |
| optimization | 36 | 14.3% |
| Reinforcement learning | 34 | 13.5% |
| causal inference | 33 | 13.1% |
| model evaluation | 32 | 12.7% |
| computer vision | 30 | 11.9% |
| TensorFlow | 27 | 10.7% |
| model training | 22 | 8.7% |
| Statistical modeling | 22 | 8.7% |
| statistics | 21 | 8.3% |
| experimentation | 20 | 7.9% |
Top companies posting Applied Scientist jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Amazon | 24 |
| Adobe | 19 |
| Frame.io | 10 |
| Qualtrics | 9 |
| Zillow | 8 |
| Mistral | 7 |
| Wolt | 6 |
| Samsara | 6 |
| ASOS | 6 |
| Thetradedesk | 5 |
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 Applied Scientist
| Name | Postings | Share |
|---|---|---|
| San Jose | 19 | 7.5% |
| Berlin | 14 | 5.6% |
| London | 13 | 5.2% |
| New York City | 12 | 4.8% |
| Seattle | 11 | 4.4% |
| San Francisco | 9 | 3.6% |
| Bellevue | 6 | 2.4% |
| Seoul | 6 | 2.4% |
| Paris | 5 | 2.0% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30, matching postings whose canonical role is “Applied Scientist”. Pages refresh weekly (or daily for the top-50 most-posted roles). Adjusted posting share: 0.1% to 0.1%. 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 2,595 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
- Applied Scientist
- source
- Skillenai jobs index, deduplicated daily
- 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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