Senior Associate, Data Scientist - Card Intelligence

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

Data Scientist role focused on building and deploying machine learning models for the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. The role involves leveraging customer data, applying various ML techniques, and working with technologies like Python, AWS, and Spark.

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
  • data analytics

Nice to have

  • H2O
  • Scala
  • R
  • clustering
  • classification
  • sentiment analysis
  • time series
  • deep learning
  • MBA with a quantitative concentration
  • PhD in STEM

What the JD emphasized

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

Other signals

  • builds and deploys sophisticated data science and machine learning models
  • across the entire credit card lifecycle
  • turn complex insights into real-world impact
  • build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation