Principal Data Scientist, AI Foundations

Capital One-posted 3 months ago

$158,600 - $197,400/Yr

Full-time • Senior

San Jose, CA

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As a Principal Data Scientist at Capital One, you will 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.

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), 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.

Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics, or a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics, or a PhD in a quantitative field.

Master’s Degree in STEM field or PhD in STEM field.
Experience working with AWS.
At least 3 years’ experience in Python, Scala, or R.
At least 3 years’ experience with machine learning.
At least 3 years’ experience with SQL.

Comprehensive health benefits.
Financial benefits including performance-based incentives.
Inclusive set of benefits that support total well-being.

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