Staff Data Scientist, ML (Credit Risk)

The role

You will build credit risk models for customer acquisitions and management. You will own the full lifecycle of model development from data prep to deployment.

What you will do

• Build credit risk models for customer acquisitions and customer management
• Collaborate with credit analysts and product managers to deliver models
• Create rich datasets leveraging traditional and non-traditional data sources
• Work on innovative tools to generate features that boost models
• Deploy, maintain and monitor models in production
• Communicate with senior stakeholders in credit, product and engineering

Required qualifications

• 7+ years of experience in data science and credit modeling
• Strong proficiency in SQL and Python for data analysis and modeling
• Experience designing experiments and interpreting results to guide product decisions
• Domain knowledge and expertise in traditional credit data
• Communicate clearly with both technical and non-technical partners

Nice to have

• Experience with non traditional credit data (such as cash flow)

Benefits

• Performance driven compensation with multipliers for outsized impact
• Bonus programs
• Equity ownership
• 401(k) matching
• 100% paid health insurance for employees
• 90% coverage for dependents
• Access to AI tools and continuous AI skill-building
• Lifestyle wallet for wellness, learning, and more
• Employer-paid life & disability insurance
• Fertility benefits
• Mental health benefits
• Company holidays, paid time off, sick time, and parental leave

About the company

Robinhood's mission is to democratize finance for all. The Credit Card business team aims to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions.