Senior Data Scientist (Fraud)
Tasks
- Analyze fraud typologies across product lines
- Build anomaly detection systems
- Collaborate with engineers product managers and analysts
- Design and run experiments for fraud interventions
- Detect novel fraud vectors
- Evaluate machine learning models
- Measure impact of fraud interventions
- Monitor and retrain fraud detection models
- Productionize machine learning models
- Prototype machine learning models for fraud detection
- Translate model outputs into real world mitigations
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Experimentation | Feature Engineering | Fraud Detection | Machine Learning | Model Evaluation | Python | SQL | Statistical inference | Statistics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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