ML Scientist, Fraud Risk & Analytics
Listed on 2026-10-15
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Amazon Science is seeking a talented scientist to build advanced algorithms that prevent eCommerce fraud and manage safety of millions of transactions daily.
You will own end-to-end risk problems, analyze terabytes of historical data, and collaborate with software engineers to implement real-time model solutions and new features. Strong ML breadth and PhD/MS with significant ML experience are preferred.
This opening is for the ML Scientist, Fraud Risk & Real-Time Analytics role at Amazon Science.
We are currently recruiting a ML Scientist, Fraud Risk & Real-Time Analytics for our team in San Diego, CA, United States.
This is a strong position to take on the ML Scientist, Fraud Risk & Real-Time Analytics role at Amazon Science.
As a ML Scientist, Fraud Risk & Real-Time Analytics, you will play an important part at Amazon Science in San Diego, CA, United States.
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