Senior Manager, Data Scientist - Applied AI

Senior Manager, Data Scientist - Applied AI Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Card Genesis team builds and ships state-of-the-art Gen AI models that serve as the intelligence for Capital One’s US Card business. We are the driving force behind AI in Payments, architecting custom solutions for time-series sequencing, natural language, and agentic reasoning at a massive scale. We partner with product, tech, and design teams to deliver next-generation applications that redefine how 80+ million customers interact with their finances. You will work with a seasoned group of AI/ML specialists, experimenting with emerging technologies in Ge [... source excerpt omitted ...] f this team, you will contribute to the global AI community while delivering the software that powers the future of the global payments ecosystem. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more—to reveal the insights hidden within huge volumes of numeric, textual, and sequential transaction data. Be the expert in Natural Language Processing (NLP) to harn [... source excerpt omitted ...] rough all phases of development, from design and pre-training through evaluation and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work—including model explainability and architectural trade-offs—into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technol