Applied Scientist, Buyer Abuse Risk ML - Protect & Optimize

A leading technology firm in San Diego is seeking an experienced Applied Scientist to join the Buyer Abuse Prevention team. The successful candidate will build advanced analytics and machine learning models to reduce abuse impact on the platform. Key responsibilities include modeling complex problems, collaborating with various teams, and developing data-querying infrastructure. Ideal candidates have at least 3 years of experience in model building, a PhD or Master’s degree, and programming skills in languages such as Java and Python.

The position offers comprehensive benefits including health insurance and 401(k) matching.

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