Principal Data Scientist - Recommendation & Personalization Systems

Capital One Capital One · Banking · McLean, VA +2

Principal Data Scientist role focused on building and deploying personalized recommendation engines and customer experiences using large-scale ML models, Foundation Models, and Reinforcement Learning. The role involves partnering with cross-functional teams, leveraging technologies like Python and AWS, and building ML models through all development phases. Requires a strong quantitative background and experience in data analytics and machine learning.

What you'd actually do

  1. 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. Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Required

  • Python
  • AWS
  • Spark
  • machine learning
  • SQL

Nice to have

  • Scala
  • R
  • H2O
  • Conda
  • Transformer-based architectures
  • Reinforcement Learning

What the JD emphasized

  • customer first
  • Innovative
  • Technical
  • data guru

Other signals

  • recommendation engines
  • personalized customer experiences
  • Foundation Models
  • Reinforcement Learning
  • scalable architecture