Principal Associate, Data Scientist - Retail Bank

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

Data Scientist role focused on building machine learning models for retail banking operations, including time series forecasting and optimization, with an emphasis on interpretable outputs. The role involves the full ML lifecycle from design to implementation and works with large volumes of data.

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
  • relational databases
  • open source programming languages for large scale data analysis

Nice to have

  • H2O
  • Master’s Degree in STEM
  • PhD in STEM
  • Scala
  • R
  • SQL

What the JD emphasized

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

Other signals

  • build machine learning models through all phases of development
  • design through training, evaluation, validation, and implementation
  • time series forecasting
  • advanced optimization
  • interpretable output