As a Staff Data Scientist at Robinhood, you will play a crucial role in building credit risk models that enhance customer service and support responsible lending decisions. You will work within the Credit Card business team, which focuses on reshaping the credit landscape and making financial services more accessible. This position requires collaboration with credit analysts and product managers to develop innovative solutions using both traditional and non-traditional data sources. The role emphasizes high performance and ethical practices in a fast-paced environment.

• You have 7+ years of experience in data science and credit modeling.
• You have strong proficiency in SQL and Python for data analysis and modeling.
• You have experience designing experiments and interpreting results to guide product decisions.
• You have domain knowledge and expertise in traditional credit data, with experience in non-traditional credit data being a plus.
• You communicate clearly with both technical and non-technical partners.

• Build credit risk models for customer acquisitions and management.
• Collaborate with credit analysts and product managers to understand business problems and deliver appropriate models.
• Create rich datasets leveraging both traditional and non-traditional data sources.
• Deploy, maintain, and monitor models in production.
• Communicate with senior stakeholders in credit, product, and engineering to deliver key results and findings.