Data Scientist Specialist (Lending)
Tasks
- Analyze behavioral transactional and demographic datasets
- Build predictive machine learning models for onboarding optimization
- Design fingerprinting and geolocation based tracking for fraud detection
- Develop real time scoring models for credit and transaction risk
- Evolve rule based systems into graph based decision engines
- Lead technical initiatives and mentor team members
- Modernize data infrastructure using data platforms and data catalog systems
- Monitor evaluate and improve model performance and accuracy 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
- Totalpass membership
Skills/Tech-stack
A/B | A/B Testing | AUC | AWS | Apache Spark | Azure | B testing | Bivariate analysis | Classification | Clustering | Databricks | Experimental Design | Feature Engineering | Fraud Detection | Geolocation | Git | KS Statistic | MLOps | Machine Learning | Matplotlib | Model Evaluation | Model Monitoring | NumPy | Pandas | Precisión | Production Model Monitoring | PySpark | Python | Recall | Regression | SHAP | SQL | Scikit-learn | Significance Testing | Statistical Analysis | Statistical significance | Statistical significance testing | Weight of evidence
Education
N/A
Roles
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