Principal Associate, Data Scientist - Card Finance Innovation Team

Capital One Capital One · Banking · McLean, VA

Data Scientist role focused on building machine learning models for a core forecasting engine within Capital One's Card Finance Innovation Team. The role involves the full lifecycle of model development, from design through implementation, leveraging technologies like Python, AWS, H2O, and Spark. The goal is to unlock insights from large datasets to improve financial decision-making for customers.

What you'd actually do

  1. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  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. Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  4. Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Required

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

Nice to have

  • Scala
  • R
  • H2O
  • Spark
  • Snowflake
  • OneLake
  • clustering
  • classification
  • sentiment analysis
  • time series
  • deep learning

What the JD emphasized

  • model risk governance

Other signals

  • machine learning models
  • forecasting engine
  • data-driven decision-making