Data Scientist Specialist (Lending)
Tasks
- Analyze behavioral transactional and demographic datasets
- Build onboarding and credit loss prediction models
- Deploy machine learning risk models
- Develop real-time credit scoring models
- Evolve rule based systems into graph decision engines
- Implement fingerprinting and geolocation tracking for fraud detection
- Lead technical initiatives and mentor team members
- Modernize data infrastructure with Databricks and data catalogs
- Monitor evaluate and improve model performance in production
Perks/Benefits
- Autonomy
- Dental insurance
- Fitness and wellness support
- Fully remote
- Health insurance
- Home-office allowance
- Impact-driven work
- Life insurance
- Meal allowance
- Ownership
Skills/Tech-stack
A/B | A/B Testing | AUC | AWS | Apache Spark | B testing | Classification | Clustering | Databricks | Experimental Design | Feature Engineering | Fraud Detection | Geolocation | Git | Graph analytics | KS Statistic | Machine Learning | Matplotlib | Microsoft Azure | Model Evaluation | Model Interpretability | NumPy | Pandas | Precisión | Python | Recall | Regression | SHAP | SQL | Scikit-learn | Statistical Analysis | Statistical significance
Education
N/A
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