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Senior Manager, Data Science - AI Foundations

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Capital One

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Location:
United States , McLean ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

229900.00 - 286200.00 USD / Year
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Job Description:

Senior Manager, Data Science - AI Foundations. 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.

Job Responsibility:

  • Partner with a cross-functional team to deliver AI powered products that change how developers write software
  • Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions
  • Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows
  • Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
  • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features
  • Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems
  • Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance

Requirements:

  • Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics
  • Currently has, or is in the process of obtaining a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
  • Currently has, or is in the process of obtaining a PHD in a quantitative field plus 2 years of experience performing data analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases

Nice to have:

  • PhD in Computer Engineering plus 4 years of relevant experience, prior publication/research experience referred
  • At least 3 years of specialized experience in GenAI application development
  • At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster
  • At least 3 years of experience working with AWS or equivalent GPU Clusters
  • At least 5 years of experience in PyTorch/Tensorflow
What we offer:
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Additional Information:

Job Posted:
February 05, 2026

Employment Type:
Fulltime
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