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Capital One is a financial services and fintech company offering credit cards, auto loans, banking, and savings products. Its work combines financial expertise with technology and digital tools to improve how customers manage money. The company’s careers focus includes building customer-oriented solutions within a diverse and inclusive workforce.
Data Science Manager, AI Foundations – Capital One
Lead NLP and LLM innovation for Capital One’s global payment network. Build scalable models, AI agents, and merchant intelligence from billions of transactions.
United States
Illinois
New York
Virginia$179,400 – $245,600 / year
On-siteFull-timeJuniorEnglish RequiredData ScientistDescription
- Collaborate with data scientists, software engineers, ML engineers, and product managers to deliver AI-powered capabilities
- Analyze billions of payment-network transactions to generate merchant intelligence
- Apply PyTorch, AWS, vector databases, and LLMs to derive insights from numerical, tabular, and textual data
- Provide domain expertise in natural language processing and large language models
- Adapt, fine-tune, and deploy language models for business users
- Connect complex machine-learning concepts to business value and strategic objectives
- Investigate emerging technologies and advanced methods
- Grow technical talent within the team and across the organization
- Build production-scale models and contribute libraries, platforms, or solution-level code to existing products
Requirements
- Hold or be pursuing a bachelor’s, master’s, MBA, or PhD in a quantitative discipline, with the degree completed by the scheduled start date
- Have 6 years of data analytics experience with a bachelor’s degree, 4 years with a master’s or MBA, or 1 year with a PhD
- Have at least 1 year of experience using open-source programming languages for large-scale data analysis
- Have at least 1 year of machine-learning experience
- Have at least 1 year of experience working with relational databases
- Have experience training language models
- Demonstrate expertise in one or more areas such as training optimization, self-supervised learning, explainability, or RLHF
- Show a record of delivering models at scale across training-data and inference volumes
- Have experience integrating libraries, platforms, or solution-level code into existing products
- Preferred: PhD in a STEM discipline and 3 years of model-development experience
- Preferred: 4 or more years of experience with Python, Scala, or R
- Preferred: 4 or more years of machine-learning experience
- Preferred: 4 or more years of SQL experience
- Have experience with LLMs, embedding models, and vector databases
- Have experience designing and implementing AI workflows and autonomous AI agents
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits
- Performance-based incentive compensation may include cash bonuses and/or long-term incentives
- Comprehensive, competitive benefits covering health, financial security, and broader well-being in an inclusive workplace
- Reasonable accommodations are available for applicants with disabilities
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