Collaborative filtering jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-15, Collaborative filtering appears in 185 job postings indexed by Skillenai over the past 90 days — most often required for Applied Scientist roles, with demand up 2% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-15
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Frequently asked questions about Collaborative filtering
+Is Collaborative filtering in demand in 2026?
Yes. Collaborative filtering appears in 185 job postings indexed by Skillenai over the 90 days ending 2026-08-15, with demand up 2% vs the prior 4 weeks. It is most often required for Applied Scientist roles (41% of Applied Scientist postings list it).
+What jobs require Collaborative filtering?
According to the Skillenai jobs index over the 90 days ending 2026-08-15, the job titles most likely to require Collaborative filtering are Applied Scientist (41% of postings list Collaborative filtering), Data Scientist (23% of postings list Collaborative filtering), Lead Data Scientist (18% of postings list Collaborative filtering).
+What skills are commonly paired with Collaborative filtering?
Across job postings indexed by Skillenai (90 days ending 2026-08-15), Collaborative filtering most often appears alongside Python, Reinforcement learning, SQL, multi-armed bandit, Funnel optimization.
+Where is Collaborative filtering most in demand?
As of 2026-08-15, the metro areas posting the most jobs requiring Collaborative filtering are New York City, Antigua Guatemala, Costa Rica, Kansas City, Lima, according to the Skillenai jobs index.
+How can I keep up with new Collaborative filtering content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Collaborative filtering alongside the jobs index. You can subscribe to a daily email digest of new Collaborative filtering content from your Skillenai account.
Weekly job postings requiring Collaborative filtering — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require Collaborative filtering
| Role | Postings mentioning | % requiring |
|---|---|---|
| Applied Scientist | 76 | 41.1% |
| Data Scientist | 42 | 22.7% |
| Lead Data Scientist | 34 | 18.4% |
| Machine Learning Engineer | 18 | 9.7% |
| AI Engineer | 3 | 1.6% |
| Founding AI Engineer | 2 | 1.1% |
| AI Scientist | 1 | 0.5% |
| AI Software Engineer | 1 | 0.5% |
| AI/ML Executive Director | 1 | 0.5% |
| Data Science Director | 1 | 0.5% |
Top metros hiring for Collaborative filtering
| Name | Postings | Share |
|---|---|---|
| New York City | 9 | 4.9% |
| Antigua Guatemala | 8 | 4.3% |
| Costa Rica | 8 | 4.3% |
| Kansas City | 8 | 4.3% |
| Lima | 8 | 4.3% |
| Los Angeles | 8 | 4.3% |
| Mexico City | 8 | 4.3% |
| Montevideo | 8 | 4.3% |
| Nuwerus NC | 8 | 4.3% |
Skills commonly paired with Collaborative filtering
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-15. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- d3f27f2099f20db7
- data_as_of
- 2026-08-15
- 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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