Manager, Data Science - Customer Data Machine Learning Team

Capital One is seeking a Manager of Data Science to join their Customer Data Machine Learning Team. This role sits at the intersection of big data and machine learning, working on foundational customer matching models that service all Capital One lines of business. The position involves developing and deploying entity resolution systems that operate on massive datasets containing hundreds of millions of records, utilizing both batch and real-time processing.

The role requires expertise in distributed computing and algorithm optimization to tackle complex scaling challenges. You'll be working with state-of-the-art interpretable and trustworthy machine learning techniques, contributing to the full lifecycle of model development - from initial business requirements through to deployment and monitoring on Capital One's kubernetes platform.

The team is actively expanding their core ML technology stack in areas including deep learning, GenAI, and graph analytics. Your work will support critical use cases including customer servicing, anti-money laundering, marketing, and bankruptcy processing. The ideal candidate should be innovative, creative, and technically strong with deep statistical knowledge and comfort working with big data.

The position offers competitive compensation ranging from $193,400 to $240,800 depending on location (McLean, VA or New York, NY), plus performance-based incentives. Capital One provides comprehensive benefits including health coverage, financial benefits, and long-term incentives. They will consider sponsoring employment authorization for qualified candidates.

This is an excellent opportunity for an experienced data scientist looking to work on impactful problems at scale while leveraging cutting-edge ML technologies. You'll be joining a forward-thinking team that values innovation and is actively investing in expanding their technical capabilities in emerging areas like GenAI and graph analytics.