Fraud Data Scientist L2

Tasks

• Build and validate classification models for fraud detection
• Collaborate with engineering product and operations to deploy models
• Create features to improve model performance
• Explore transactional and behavioral datasets to find fraud patterns
• Iterate models based on user behavior changes and fraud trends
• Monitor model performance in production
• Research advanced machine learning techniques for fraud detection

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Anomaly Detection | Feature Engineering | Fraud Detection | Imbalanced Data | Machine Learning | Python | SQL