Principal Associate, Data Scientist - US Card Dfs Acquisitions

Capital One Capital One · Banking · Riverwoods, IL +1

This role focuses on building and deploying machine learning models for credit card customer acquisitions within the fintech domain. The data scientist will own the full model lifecycle, from design and training to evaluation, validation, implementation, monitoring, and governance. The role involves leveraging Python, AWS, Spark, and H2O to analyze large datasets and develop models for underwriting decisions.

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
  • SQL
  • machine learning
  • quantitative field degree

Nice to have

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

What the JD emphasized

  • model risk standards
  • build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • built models, validated them, and backtested them

Other signals

  • build industry leading machine learning models
  • own the full life cycle of our models - development, deployment, monitoring, governance
  • build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation