anomaly detection jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, anomaly detection appears in 1,443 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning anomaly detection, with demand down 48% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,443
Demand vs prior month
down 48% vs the prior 4 weeks
Top role · 13.5% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about anomaly detection

+Is anomaly detection in demand in 2026?

Yes. anomaly detection appears in 1,443 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 48% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning anomaly detection (13.5% of all postings mentioning anomaly detection).

+What jobs require anomaly detection?

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 anomaly detection are Actuarial Analyst (25.0% of that role’s postings mention anomaly detection), Detection Engineer (12.5% of that role’s postings mention anomaly detection), Business Operations Analyst (9.4% of that role’s postings mention anomaly detection).

+What skills are commonly paired with anomaly detection?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), anomaly detection most often appears alongside Python, SQL, machine learning, data pipelines, observability.

+Where is anomaly detection most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring anomaly detection are San Francisco, New York City, Bengaluru, San Jose, Singapore, according to the Skillenai jobs index.

+How can I keep up with new anomaly detection content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning anomaly detection alongside the jobs index. You can subscribe to a daily email digest of new anomaly detection content from your Skillenai account.

Weekly job postings requiring anomaly detection — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require anomaly detection

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Actuarial Analyst525.0%
Detection Engineer312.5%
Business Operations Analyst39.4%
AI Ops Engineer29.1%
ML Software Engineer29.1%
AI/ML Scientist28.7%
Financial Data Analyst37.7%
Finance Data Analyst27.7%
Machine Learning Systems Engineer27.4%
Marketing Data Analyst57.4%

Roles with the most anomaly detection postings

RolePostings mentioning skillShare of skill postings
Data Scientist19513.5%
Software Engineer1067.3%
Data Analyst745.1%
Product Manager704.9%
Data Engineer624.3%
Machine Learning Engineer614.2%
Site Reliability Engineer231.6%
ML Engineer211.5%
AI Engineer191.3%
Engineering Manager181.2%

Top metros hiring for anomaly detection

NamePostingsShare
San Francisco584.0%
New York City493.4%
Bengaluru352.4%
San Jose241.7%
Singapore241.7%
Toronto241.7%
Seattle231.6%
London211.5%
Washington191.3%

Skills commonly paired with anomaly detection

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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 anomaly detection by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s anomaly detection postings by all anomaly detection 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
f3fe766edf7a3bb7
data_as_of
2026-09-28
window_days
90
Hiring engineers who use anomaly detection?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index