Senior Associate, Data Scientist - Applied AI

Capital One
McLean, VA, USA2026-01-12Full time

About the job

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. The Commercial Bank Data Science Applied AI team is at the forefront of enabling Generative AI capabilities within the Commercial Bank. We focus on cutting-edge techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning. The ideal candidate will be deeply passionate about Generative AI and possess prior experience in AI from either a professional or academic background.

Responsibilities

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

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

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Qualifications

Minimum

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics

A 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

Preferred

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

Experience working with AWS

At least 2 years’ experience in Python, Scala, or R

At least 2 years’ experience with machine learning

At least 2 years’ experience with SQL

Prior experience in AI, information retrieval, or NLP