Principal Associate, Data Science

Capital One Capital One · Banking · Plano, TX

This role focuses on building and delivering machine learning models within a cross-functional team at Capital One, a fintech company. The responsibilities include the full lifecycle of model development from design through implementation, leveraging technologies like Python, Spark, and AWS to extract insights from data and create customer-facing products.

What you'd actually do

  1. Exercising more discretion, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  2. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, 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. Translate the complexity of your work into tangible business goals.

Skills

Required

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

Nice to have

  • Conda
  • H2O

What the JD emphasized

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.

Other signals

  • build machine learning models through all phases of development
  • deliver a product customers love
  • reveal the insights hidden within huge volumes of numeric and textual data