Fraud Data Science
Tasks
- Apply machine learning for fraud detection
- Build and validate classification models
- Collaborate with engineering and product teams
- Explore transactional and behavioral datasets
- Iterate models based on fraud trends
- Monitor model performance in production
- Perform feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Feature Engineering | Fraud Detection | Imbalanced Learning | Machine Learning | Model Validation | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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