Senior Associate, Data Scientist

Capital One Capital One · Banking · New York, NY +1

Data Scientist role focused on building machine learning models for Capital One's Commercial Bank Team, involving forecasting, analytical tools, and model implementation. The role requires leveraging technologies like Python, AWS, and Spark to analyze large datasets and deliver data-driven solutions.

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
  • clustering
  • classification
  • sentiment analysis
  • time series
  • deep learning

Nice to have

  • H2O
  • Scala
  • R
  • AI-assisted development
  • Financial knowledge

What the JD emphasized

  • build machine learning models through all phases of development
  • design through training, evaluation, validation, and implementation
  • experience with clustering, classification, sentiment analysis, time series, and deep learning

Other signals

  • build machine learning models through all phases of development
  • design through training, evaluation, validation, and implementation
  • experience with clustering, classification, sentiment analysis, time series, and deep learning