Staff Data Scientist, ML (Credit Risk)

Robinhood • Washington, DC

3d • $170,000 - $255,000 • Hybrid

About The Position

Robinhood is seeking a Staff Data Scientist with a focus on Machine Learning in Credit Risk to join their elite team. This role is crucial in building credit risk models that will inform lending decisions, including customer acquisition (credit approval and credit limit assignment) and customer management. The position involves leveraging both traditional and non-traditional data sources to develop highly predictive risk models and owning the full lifecycle of model development from data preparation to deployment. The Credit Card business team aims to reshape the credit landscape and make financial services accessible to everyone.
This role is based in their Bellevue, WA, Menlo Park, CA, or Washington, DC offices, with a requirement for in-person attendance at least 3 days per week. Robinhood emphasizes the value of in-person collaboration for innovation and community building.

Requirements

• 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 Haves

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

Responsibilities

• Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
• Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
• Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
• Deploy, maintain and monitor models in production
• Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings

Benefits

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed