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Principal Associate, Data Scientist

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Capital One

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Location:
United States , McLean

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Contract Type:
Not provided

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Salary:

161800.00 - 184600.00 USD / Year

Job Description:

As a Data Scientist on Capital One’s People Strategy & Analytics team, you’ll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One’s talent advantage.

Job Responsibility:

  • Build natural language processing and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications
  • Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products
  • Leverage a broad stack of technologies — Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more — to reveal the insights hidden within large volumes of numeric and textual data
  • Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes

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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years’ experience in Python
  • At least 3 years’ experience with machine learning
  • At least 3 years’ experience with SQL
  • At least 2 years’ experience with relational databases such as Snowflake
  • At least 2 years’ experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow

Nice to have:

  • Passionate about human capital
  • Innovative
  • Creative
  • Technical
  • Statistically-minded
What we offer:
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Job Link Share:

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