Manager, Data Scientist - US Card (resiliency Intelligence)

Capital One Capital One · Banking · McLean, VA +1

Capital One is seeking a Manager, Data Scientist for their US Card Resiliency Intelligence team. This role focuses on building machine learning models using supervised and reinforcement learning to predict customer needs and recommend personalized solutions for financial stability. The team uses Python, XGBoost, scikit-learn, and statsmodels, deploying models that impact millions of customers daily in both analytical and production environments. The ideal candidate is creative, technical, statistically-minded, and proficient with large datasets and open-source tools.

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

  • Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics OR Master's Degree in a quantitative field plus 4 years of experience performing data analytics OR PhD in a quantitative field plus 1 year of experience performing data analytics
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis
  • At least 1 year of experience working with machine learning
  • At least 1 year of experience utilizing relational databases

Nice to have

  • PhD in “STEM” field plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years’ experience in Python, Scala, or R for large scale data analysis
  • At least 4 years’ experience with machine learning
  • At least 4 years’ experience with SQL

What the JD emphasized

  • Resiliency Intelligence team builds the machine learning models that help our customers regain financial stability and drive business value through personalized solutions at scale
  • Our models define treatments for millions of customers daily, with your code running across both analytical and production environments.

Other signals

  • Leverage supervised and reinforcement learning to predict customer needs and recommend optimal solutions.
  • Develop custom Python libraries and utilize a tech stack featuring XGBoost, scikit-learn, and statsmodels.
  • Our models define treatments for millions of customers daily, with your code running across both analytical and production environments.