Fraud Data Scientist L2

Tasks

• Analyze transaction and behavioral data to identify fraud patterns
• Collaborate with engineering, product, and operations teams
• Create features to improve model performance
• Develop and validate classification models for imbalanced data
• Monitor model performance and iterate based on behavioral changes
• Research advanced machine learning techniques for fraud detection

Perks/Benefits

• N/A

Skills/Tech-stack

Anomaly Detection | Data Analysis | Feature Engineering | Fraud Detection | Machine Learning | Python | SQL