Capital One

Financial Services

PrincipalAssociate,DataScientistLLMCustomizationTeam

$162–185k New York, New York, United States; Menlo Park, California, United States; Bellevue, Washington, United States; Washington, District of Columbia, United States; Denver, Colorado, United States; Westlake, Texas, United States; Chicago, Illinois, United States; Lake Mary, Florida, United States; Clearwater, Florida, United States; Gainesville, Florida, United States FULL TIME
The Brief

“Principal Associate, Data Scientist - LLM Customization Team at Capital One. Skills: LLM Customization, Generative AI, Natural Language Processing. Partner with cross-functional team. Deliver AI powered products”

What You'll Achieve.

Deliver AI powered products that change how customers interact with their money; Create next generation experiences powered by the latest emerging generative AI technologies

Industry & Context.

Financial Services
Problems you'll solve

Creative. You thrive on bringing definition to big, undefined problems.

What They're Looking For.

Must Have

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics, Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Nice to Have

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), At least 1 year of experience working with AWS, At least 3 years’ experience in Python, Scala, or R, At least 3 years’ experience with machine learning, Experience with Large Language Models (LLM), Finetuning, and Deep Learning

What You'll Do.

Partner with cross-functional team

Deliver AI powered products

Leverage stack of technologies

Reveal insights from data

Harness power of LLMs

Adapt and finetune LLMs

Operationalize models in production

How You'll Work.

Team & Collaboration

Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers; Partnering with engineering teams to operationalize models; Bring along a cross functional team in breakthrough innovations; Communicate clearly and effectively to share findings with non-technical audiences

Communication Scope

Translate complexity of work into tangible business goals; Communicate clearly and effectively to share findings with non-technical audiences

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