Fraud Risk Data Scientist - Real-Time ML/AI Analytics

A leading recruitment firm is seeking an Associate Fraud Risk Data Scientist in San Jose to design and develop machine learning models to detect and mitigate fraud. This hybrid role requires 2-6 years of experience with machine learning and AI, along with strong proficiency in SQL, Python, and data visualization tools like Tableau. The ideal candidate will work closely with cross-functional teams to implement data-driven AI solutions and make impactful business recommendations to stakeholders.