Data Scientist at Capital One utilizing machine learning technologies to enhance customer financial interactions. Collaborating with cross-functional teams to deliver innovative AI-driven products.
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI powered products
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, and more — to reveal insights
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs)
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation
Requirements
Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics
Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
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
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