Data Scientist II, Applied ML

What you’d do

Own the full machine learning lifecycle, from problem identification and model design through training, productionization, and monitoring, to manage risk and improve customer experience. Partner with Ops, Engineering, Product, Fraud, Compliance, and Credit teams. Found on the employer's careers page on Oct 1, 2026. Apply through the link.

You’ll need

• 3+ years in Data Science/ML, or 2+ with a PhD
• PhD in a quantitative field (alternative path)
• End-to-end model development and productionization
• Python programming
• SQL and ML frameworks