Applied Scientist, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and Prevention

What you’d do

Design and build predictive risk detection models using graph-based and network analysis to catch bad actors and prevent marketplace abuse. Own the scientific solution from risk quantification to decision optimization and partner with engineering to deploy models into production. Full-time in Seattle. Found on the employer's careers page on Sep 30, 2026. Apply through the link.

You’ll need

• PhD, or Master's degree and 4+ years of CS, CE, ML or related experience
• Programming in Java, C++, Python or related language
• Algorithms and data structures
• Data mining
• Parallel and distributed computing