Staff Machine Learning Scientist

Job Summary

Shaping the modeling strategy for underwriting and fraud, the full-time Staff Machine Learning Scientist will establish governance standards and build credit models while working remotely to influence data-driven decisions across the organization.

Key responsibilities

• Shape modeling strategy across various business areas, influencing architecture and investment priorities
• Establish model governance standards covering validation, monitoring, and risk classification throughout the model lifecycle
• Build and improve credit models to inform underwriting and collections strategies, balancing performance and member outcomes

Required qualifications

• 8+ years of experience in building production machine learning solutions with demonstrated technical leadership
• Strong experience in consumer credit modeling and risk-based decision systems, preferably in fintech
• Experience with model validation and risk management in regulated environments
• Advanced proficiency in Python, SQL, and machine learning frameworks such as PyTorch or XGBoost
• A bachelor's, master's, or doctoral degree in a quantitative field or equivalent experience