Staff Data Scientist
Tasks
- Build monitoring frameworks for performance drift fairness and explainability
- Design train validate and iterate predictive models
- Mentor data scientists and analysts on methodology and decision quality
- Own end to end credit data science strategy
- Perform portfolio deep dive analyses and segment insights
- Productionize and version decision logic and monitoring
- Translate business problems into hypotheses experiments and decision proposals
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Credit Risk | Data Drift | Experimentation | Explainability | Fairness | Feature Engineering | Fraud Risk Modeling | Fraud risk | Loss Given Default | Machine Learning | Model Validation | Model calibration | Monitoring | Predictive Modeling | Probability of Default | Python | Risk Modeling | SQL
Education
N/A
Roles
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