Senior Data Scientist, Full Stack
Tasks
- Build identity verification risk models
- Coordinate with engineering and data teams to access and maintain data quality
- Design and present analyses for product and risk
- Develop fraud detection models end to end
- Engineer features from new data sources
- Productionalize and monitor models
- Research new types of fraud
- Train and experiment with machine learning models
- Write production ready code for real time decisions
Perks/Benefits
Skills/Tech-stack
AWS EC2 | Amazon RDS | Amazon Redshift | Amazon S3 | Data labeling | Experimentation | Feature Engineering | Fraud Detection | Machine Learning | Model Training | PostgreSQL | Production Code | Python | Statistics | Testing
Education
Roles
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