Senior Data Scientist, Capital One

Senior Data Scientist, Capital One

Company Capital One
Job title Senior Data Scientist, AI Foundations
Job location McLean, Virginia | New York, New York | San Francisco, California
Type Full Time

Responsibilities:

  • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.
  • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
  • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), and adapt and finetune them for customer-facing applications and features.
  • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Requirements & Skills:

  • Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 1 year of experience in open-source programming languages for large-scale data analysis
  • At least 1 year of experience with machine learning
  • At least 1 year of experience with relational databases
  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 2 years experience in Python, PyTorch, Scala, or R
  • At least 2 years of experience with machine learning
  • At least 2 years experience with SQL
  • At least 2 years experience working with natural language processing

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