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Director, Data Scientist - Generative AI Systems

United States, McLean 269100.00 - 335100.00 USD / Year · Job Posted April 11, 2026
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Job Description

Director, Data Scientist - Generative AI Systems. Data is at the center of everything we do. 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
  • Leverage a broad stack of technologies to reveal insights
  • Be the expert in Natural Language Processing to harness the power of Large Language Models
  • Build machine learning and NLP models through all phases of development
  • Flex interpersonal skills to translate work into tangible business goals

Requirements

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field plus 9 years of experience performing data analytics
  • A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
  • A PHD in a quantitative field plus 4 years of experience performing data analytics
  • At least 4 years of experience leveraging open source programming languages for large scale data analysis
  • At least 4 years of experience working with machine learning
  • At least 4 years of experience utilizing relational databases

Nice to have

  • PhD in “STEM” field plus 5 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 3 years of experience managing people
  • At least 5 years of experience in Python, Scala, or R for large scale data analysis
  • At least 5 years of experience with machine learning

What we offer

  • Performance based incentive compensation
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits

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