Overview
Role involves driving research and developing ML solutions for fraud detection.
Ideal candidate has 4+ years of experience in ML and a PhD or master's in a quantitative field.
101k usd / yearhybridseniorEnglishSQLPythonRMLdeep learning
Locations
United States, California, San Francisco
Requirements
PhD or master's in quantitative discipline 4+ years experience in analytical problems Practical experience building ML systems
Responsibilities
Drive innovative research in fraud detection Collaborate with Threat Lab Develop automated IVT detection systems Mentor junior data scientists Integrate fraud solutions with engineering workflows