Principal Data Scientist

Job Summary

To support data-driven decision-making, the full-time remote Principal Data Scientist will develop and maintain predictive credit models, create advanced features from alternative data sources, and take ownership of model performance monitoring and iteration.

Key responsibilities

• Develop and maintain predictive models for credit scoring and risk detection
• Create advanced features using alternative data sources to enhance model performance
• Monitor and validate model performance, recalibrating as necessary for changing conditions

Required qualifications

• Master's degree in a quantitative discipline such as Statistics, Mathematics, or Data Science
• 5+ years of experience with Python or R and SQL, including familiarity with cloud environments
• 5+ years of experience in credit risk modeling within the lending lifecycle
• 4+ years of experience with traditional statistical techniques and modern machine learning
• Experience working in a fintech, neobank, or consumer lending startup environment