Manager, Data Scientist - Recommendation & Personalization Systems

Capital One Capital One · Banking · McLean, VA +2

Manager, Data Scientist focused on Recommendation & Personalization Systems within an Applied AI team. The role involves architecting and deploying personalized recommendation engines using Foundation Models, Reinforcement Learning, and Transformer-based architectures. It operates at the intersection of research and real-world impact, dealing with high-scale ML models and billions of customer records in the fintech domain.

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
  • data analytics

Nice to have

  • H2O
  • Kubeflow
  • CI/CD pipelines
  • PyTorch
  • distributed training
  • multi-GPU optimization
  • DASK
  • PySpark
  • MLOps practices

What the JD emphasized

  • production-grade ML systems
  • Transformer-based architectures
  • Deep Learning models

Other signals

  • recommendation engines
  • Foundation Models
  • Reinforcement Learning
  • Transformer-based architectures
  • Recommender Systems