Data Scientist, Full Stack
Tasks
- Build foundational modeling for financial risk products
- Collaborate on data acquisition and data quality
- Create production ready code for real time decisions
- Design and present analyses for product and risk priorities
- Develop fraud detection models end to end
- Integrate new data sources for iterative improvement
- Research new fraud types and identity verification use cases
Perks/Benefits
- 401k match
- Company wide in person events
- Employer-paid health insurance
- Flexible paid time off
- Home office stipend
Skills/Tech-stack
AWS | Amazon EC2 | Amazon RDS | Amazon Redshift | Amazon S3 | Experimentation | Feature Engineering | Machine Learning | Model Monitoring | Model Training | PostgreSQL | Python | Statistics
Education
Roles
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