Data Scientist L2
Tasks
- Analyze data for patterns trends and insights
- Collaborate with cross-functional teams
- Create features and clean datasets
- Develop, validate, and deploy machine learning models
- Evaluate credit risk using probability of default models
- Monitor model performance and update models
- Research and improve machine learning approaches
- Train and run data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Credit Risk | Credit risk modeling | Data Modeling | Data Pipelines | Feature Engineering | Machine Learning | Python | Risk Modeling | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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