Expert Data Scientist, Fraud Risk Detection

Description: Join Experian's Fraud Analytics & Commercialization team as a Data Scientist to build fraud detection models and features. Collaborate with senior data scientists and engineers to investigate fraud patterns and develop machine learning models. Requirements: Minimum 3 years of experience in data science or related quantitative field. Bachelor's or advanced degree in computer science, statistics, engineering, or data science. Experience in developing fraud-detection or risk models and creating meaningful fraud features. Proficiency in Python and PySpark, with experience in data science tools like pandas and TensorFlow. Knowledge of supervised learning, model evaluation, and challenges in fraud modeling. Benefits: Competitive compensation package and bonus plan. Core benefits including medical, dental, vision, and matching 401K. Flexible work environment with remote, hybrid, or in-office options. Flexible time off including vacation, sick leave, and volunteer time off.