Senior Data Scientist Fraud Detection
Tasks
- Analyze transactional and customer data for fraud patterns
- Apply machine learning anomaly detection graph analytics behavioral analytics
- Collaborate with fraud operations risk compliance and product teams
- Design develop and continuously improve fraud detection models
- Investigate new fraud schemes and develop detection strategies
- Monitor evaluate and optimize model performance
- Perform feature engineering data enrichment and data preparation
- Translate business challenges into scalable analytical and AI solutions
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Behavioral analytics | Data Preparation | Data Processing | Distributed data | Distributed data processing | Feature Engineering | Graph analytics | Hadoop | Machine Learning | Network Analysis | Production Machine Learning | Python | SQL | Spark | Statistical modeling
Education
Roles
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