Staff Data Scientist (ML/Credit Risk)

Location: Menlo Park, CA, or Washington, DC, with in-person attendance expected at least 3 days per week

Base pay range: $217,000–$255,000 USD for Zone 1; $191,000–$224,000 USD for Zone 2; $170,000–$199,000 USD for Zone 3. Additional bonus, equity, and benefits are included.

Company

Robinhood builds financial products designed to make finance more accessible and is expanding its credit and banking services.

What you will do

• Build credit risk models for customer acquisition, credit approval, credit limit assignment, and customer management.
• Develop rich datasets from traditional and non-traditional data sources and create predictive features.
• Own the full model lifecycle, including data preparation, model development, deployment, maintenance, and monitoring.
• Collaborate with credit analysts and product managers to translate business problems into effective models.
• Communicate findings and key results to senior stakeholders in credit, product, and engineering.

Requirements

• 7+ years of experience in data science and credit modeling.
• Strong proficiency in Python and SQL for data analysis and modeling.
• Experience designing experiments and interpreting results to guide product decisions.
• Expertise in traditional credit data and credit risk modeling.
• Clear communication with technical and non-technical partners.
• Ability to work from the Menlo Park or Washington, DC office at least 3 days per week.

Nice to have

• Experience working with non-traditional credit data, such as cash-flow data.

Culture & Benefits

• High-impact work focused on credit and financial services.
• Performance-driven compensation with bonuses, equity ownership, and 401(k) matching.
• 100% paid employee health insurance and 90% dependent coverage.
• Access to AI tools and continuous AI skill-building.
• Paid holidays, paid time off, sick time, parental leave, and mental health benefits.
• Catered meals, workplace events, and supported office environments.