Staff Data Scientist, ML (Credit Risk)

What you'll do

• Build credit risk models to determine customer approvals and credit limit assignments.
• Develop predictive models using both traditional and non-traditional data sources.
• Create rich datasets and innovative tools to generate powerful features for model improvement.
• Manage the full lifecycle of model development from data preparation to deployment.
• Deploy, maintain, and monitor models in a production environment.
• Design experiments and interpret results to guide product decisions.
• Communicate key findings and results to senior stakeholders in credit, product, and engineering.

What we're looking for

• You have 7+ years of experience in data science and credit modeling.
• You possess 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.
• Experience with non-traditional credit data, such as cash flow, is preferred.
• You can communicate clearly with both technical and non-technical partners.