Senior Manager, Data Scientist - US Card (generative AI Systems)

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

Senior Manager, Data Scientist for the Generative AI Systems (Genesis) team within Capital One's US Card division. This role focuses on building and delivering state-of-the-art generative AI-based solutions for various applications including dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series modeling. The goal is to enhance both internal business efficiency and customer-facing experiences. The role involves partnering with cross-functional teams, leveraging a broad tech stack, and building ML models through all phases of development.

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, Kubernetes, 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

  • Bachelor's Degree in a quantitative field or equivalent experience
  • 7 years of experience performing data analytics
  • 2 years of experience leveraging open source programming languages for large scale data analysis
  • 2 years of experience working with machine learning
  • 2 years of experience utilizing relational databases

Nice to have

  • PhD in STEM field
  • 4 years of experience in data analytics
  • 1 year of experience working with AWS
  • 1 year of experience managing people
  • 5 years’ experience in Python, Scala, or R for large scale data analysis
  • 5 years’ experience with machine learning

What the JD emphasized

  • Generative AI Systems
  • state-of-art, generative AI-based solutions
  • dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling
  • customer-facing applications that enhance the customer experience
  • natural language processing (NLP), speech, and computer vision specialists
  • experimenting with emerging technologies in generative AI
  • delivering software implementing these technologies
  • contributing research to major NLP and AI/ML conferences
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

Other signals

  • Generative AI
  • LLMs
  • NLP
  • Speech
  • Computer Vision
  • Dialogue
  • Text Summarization
  • Reading Comprehension
  • Customer Experience
  • Internal Applications
  • Efficiency