Data Scientist Specialist (Lending)
Tasks
- Analyze behavioral transactional and demographic datasets
- Build predictive machine learning models for onboarding and credit loss reduction
- Design fingerprinting and geolocation based fraud detection solutions
- Develop real time scoring models for credit and transaction risk
- Evolve rule based systems into graph based decision engines
- Lead data science initiatives and mentor team members
- Monitor evaluate and improve production model performance
- Support adoption of data platforms and data catalog systems
Perks/Benefits
- Autonomy and ownership
- Dental insurance
- Fitness and wellness support
- Fully remote
- Health insurance
- Home-office allowance
- Life insurance
- Meal allowance
Skills/Tech-stack
A/B | A/B Testing | AUC | AWS | Apache Spark | Azure | B testing | Bivariate analysis | Databricks | Experimental Design | Feature Engineering | Fraud Detection | Geolocation | Git | KS | MLOps | Machine Learning | Matplotlib | Model Evaluation | Model Monitoring | NumPy | Pandas | Precisión | PySpark | Python | Recall | SHAP | SQL | Scikit-learn | Statistical Analysis | Statistical significance | Weight of evidence
Education
N/A
Roles
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