Senior Associate, Data Science

Senior data scientist focused on loss forecasting modernization for Capital One's credit card portfolio, including data transformation and governance of ML models.

• Partner with cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
• Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal the insights hidden within data
• Build statistical/machine learning models to challenge models deployed in production
• Contribute to the model governance of the next generation of machine learning models
• Present model risks to executives

Stack includes Python, Conda, AWS, Spark; database and analytics focus with SQL, R, and Scala. Emphasis on model governance and regulatory compliance (CCAR).

Ideal candidate is a senior data scientist with strong experience in credit risk forecasting, cloud and big data tools (AWS, Spark), and model governance. They demonstrate a track record of building data-driven solutions and communicating model risks to leadership.