Principal Associate, Data Scientist - Cash Flow Underwriting

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

Data Scientist role focused on building machine learning models for cash flow underwriting in the fintech domain. The role involves leveraging advanced ML techniques to engineer predictive signals from banking and transaction data to forecast creditworthiness and customer behavior. It requires building models through all phases of development, from design to implementation, using technologies like Python, Spark, and AWS.

What you'd actually do

  1. 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
  2. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  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
  • AWS
  • SQL
  • machine learning
  • data analytics

Nice to have

  • H2O
  • Scala
  • R
  • clustering
  • classification
  • sentiment analysis
  • time series
  • deep learning

What the JD emphasized

  • advanced machine learning techniques
  • predictive signals
  • cash flow and transaction data
  • creditworthiness and customer behavior
  • machine learning models
  • huge volumes of numeric and textual data
  • machine learning
  • SQL

Other signals

  • Leveraging advanced machine learning techniques
  • identify and engineer predictive signals
  • transform raw banking data into high-value features
  • accurately forecast creditworthiness and customer behavior
  • Build machine learning models through all phases of development