Fraud Strategy Data Scientist - Rules & Modeling (Hybrid)

A leading healthcare technology firm is seeking an Associate Fraud Strategy Data Scientist in San Jose, CA. This hybrid role involves developing fraud detection rules, creating models and scripts, and investigating large fraud cases. Ideal candidates will have a Bachelor's degree in a related field and 2 years of experience in risk analytics or data science. Proficiency in SQL, Python, and data visualization tools like Tableau is required. Join us to enhance our fraud risk strategies in a dynamic environment. #J-18808-Ljbffr