Staff Machine Learning Scientist

📋 Description

• Shape Dave's modeling strategy across underwriting, collections, fraud, marketing, and growth
• Establish model governance standards covering validation, monitoring, risk classification
• Build and improve credit models that inform underwriting, collections, and settlement strategies
• Strengthen responsible modeling practices by partnering with Legal, Compliance, Risk, and
• Advance business measurement through meaningful metrics, experimentation, causal inference, and
• Develop AI-assisted workflows and mentor scientists to improve modeling efficiency, evaluation

🎯 Requirements

• 8+ years of experience building production machine learning solutions, including demonstrated
• Strong experience with consumer credit modeling, portfolio economics, and risk-based decision
• Experience with model validation, model risk management, or independent review in regulated
• Advanced proficiency in Python, SQL, statistical modeling, and machine learning frameworks such as
• Experience designing experiments, defining business metrics, and measuring incremental impact
• Demonstrated ability to influence technical direction and communicate complex trade-offs across

🎁 Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of
• Flexible hours and virtual-first work culture with a home office stipend
• Premium Medical, Dental, and Vision Insurance plans
• Generous paid parental and caregiver leave
• 401(k) savings plan with matching contributions
• Financial advisor and financial wellness support