Principal Associate, Data Scientist - Audit Data Science

Capital One Capital One · Banking · McLean, VA +1

This role focuses on building and implementing ML solutions, particularly LLM-based chatbots and GenAI applications, within the Audit Insights and Innovation team at Capital One. The responsibilities include managing risk in statistical models, leveraging technologies like Python and AWS, and building ML models through all development phases. The ideal candidate is an LLM practitioner with experience in production-grade pipelines and a strong understanding of data science principles.

What you'd actually do

  1. Partner with a cross-functional team of data scientists, data analysts, risk professionals, software engineers, and product managers to manage the risk and uncertainty inherent in statistical models in order to lead Capital One to the best decisions
  2. Leverage a broad stack of technologies - Python, Conda, UV, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
  3. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  4. Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Required

  • Python
  • AWS
  • Spark
  • SQL
  • machine learning
  • data analytics

Nice to have

  • Scala
  • R
  • LLM
  • GenAI
  • NLP

What the JD emphasized

  • LLM based chatbots
  • GenAI powered applications
  • build machine learning models through all phases of development
  • hands-on experience building with open-source LLM models to create reproducible, production-grade pipelines

Other signals

  • LLM based chatbots
  • GenAI powered applications
  • build machine learning models through all phases of development
  • hands-on experience building with open-source LLM models to create reproducible, production-grade pipelines