Staff Data Scientist - Credit and Lending ML

📋 Description

• Build and own the models behind our lending program - transaction classification, recurring
• Turn messy data streams - bank transactions, storefront sales, and more - into a defensible view of
• Deploy models into a production environment with observability, monitoring, and tests
• Partner with Credit on underwriting policy: what data is asked for, when follow-up information is
• Partner with Product on the shape of the product: from principal sizes and pricing to repayment
• Assess where predictive modeling actually moves the underwriting program

🎯 Requirements

• Have 7+ years building ML models
• Implemented models that shaped automated decisions with money on the line
• Write production-grade Python
• Have depth beyond classification models; for example: time series and forecasting, anomaly
• Be proficient with deep learning, transformers, and LLMs
• Be strong in SQL and at home in a data warehouse

🎁 Benefits

• Total rewards package includes base salary, equity (stock options/RSUs), and benefits
• Highly competitive salary and equity ranges within SaaS and fintech industry
• Reasonable accommodations throughout the recruitment process for applicants with disabilities or