Description
Citi is hiring a Fraud Data Scientist to develop and operate machine-learning models that detect and prevent fraud across the full fraud lifecycle. The role focuses on data and feature engineering, predictive modeling, exploratory data analysis, model optimization, deployment, monitoring, validation, and cross-functional collaboration with technology, analytics, and business teams. It requires a bachelor’s degree in a quantitative discipline, at least three years of data science or machine learning experience, and proficiency with Python, R, SQL, and related data-processing tools. The position is based in San Antonio, Texas, and offers a full-time salary range of $96,960 to $145,440 plus benefits.
