Principal Associate, Data Scientist, Sbb Fraud

Capital One Capital One · Banking · McLean, VA

Data Scientist role focused on building and deploying machine learning models for fraud detection in the Small Business Bank (SBB) at Capital One. The role involves working with large datasets, applying various ML techniques, and collaborating with cross-functional teams to protect customers and the company from financial fraud.

What you'd actually do

  1. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  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. Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  4. Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Required

  • Python
  • Spark
  • SQL
  • AWS
  • machine learning
  • deep learning
  • classification
  • clustering
  • sentiment analysis
  • time series
  • quantitative field degree

Nice to have

  • H2O
  • Dask
  • graphs
  • embeddings
  • sequence models
  • transformer models

What the JD emphasized

  • machine learning models
  • fraud detection
  • customer protection

Other signals

  • fraud detection
  • machine learning models
  • customer protection