Expert Data Scientist, Fraud Risk Detection

📋 Description Investigate large datasets, including exploratory analysis and fraud label development, to identify Translate ambiguous fraud and risk problems into clear hypotheses, analytical plans, model Develop machine learning models for fraud detection across account opening, account takeover, and Evaluate models using metrics like ROC/AUC/KS/Gini, precision/recall, fraud capture rate Develop and validate predictive features using identity, transactional, consumer credit history Write clean, efficient, well-tested Python and PySpark code, and collaborate with teams to bring 🎯 Requirements At least 3 years of experience in data science, machine learning, statistical modeling, or a Bachelor's or advanced degree in computer science, statistics, engineering, data science, or Direct experience developing fraud-detection, identity-risk, credit-risk, financial-crime, or other Demonstrated experience creating meaningful fraud features Proficiency in Python and PySpark, with experience writing modular and tested code for large Experience using common data science and machine-learning tools such as pandas, NumPy 🎁 Benefits Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays