Principal Associate, Data Scientist - Retail Bank Marketing

Capital One Capital One · Banking · McLean, VA

This role focuses on building and operating machine learning models for retail bank marketing, optimizing marketing spend, product recommendations, and new account value estimation. It involves data and model pipelining, machine learning, and model operations using Python and ML libraries. The role also explores next-generation model architectures like embeddings and sequence models.

What you'd actually do

  1. Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions
  2. Translate business goals into data science solutions and communicate with senior stakeholders
  3. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  4. Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency

Skills

Required

  • Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics
  • Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • PhD in a quantitative field
  • Python
  • SQL
  • machine learning algorithms
  • predictive solutions

Nice to have

  • Master’s Degree in “STEM” field plus 3 years of experience in data analytics
  • PhD in “STEM” field

What the JD emphasized

  • machine learning models
  • model pipelining
  • machine learning
  • model operations
  • embeddings
  • sequence models

Other signals

  • build machine learning models
  • model pipelining
  • machine learning
  • model operations
  • embeddings
  • sequence models