Senior Data Scientist, AI Foundations
AI summary of the role
Senior Data Scientist on the AI Foundations Specialist Models team, building and shipping scalable AI/ML solutions for Capital One's mobile app.
What you’ll do
- Partner with cross-functional team of data scientists, software engineers, ML engineers, and product managers to deliver AI-powered products
- Leverage Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs to reveal insights from numeric and textual data
- Be the NLP expert to harness LLMs, adapt and finetune them for customer-facing applications
- Build ML and NLP models from design through training, evaluation, and validation; partner with engineering to operationalize in production systems serving 80M+ customers
What you’ll bring
- Bachelor's in quantitative field + 2 years data analytics, or Master's in quantitative field / MBA with quantitative concentration
- Experience training language models or large computer vision models
- Expertise in one or more: training optimization, self-supervised learning, explainability, RLHF
- Track record of delivering models at scale in training data and inference volumes
Technologies
Pytorch · AWS Ultraclusters · Hugging Face · LangChain · Lightning · VectorDBs · NLP · LLMs · Python · Scala · R · SQL
About Capital One
US consumer bank and largest credit card issuer; cloud-native operator running credit cards, auto loans, retail banking, and now the Discover network on AWS.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Senior Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. 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. Team Description AI Foundations Specialist Models Data Science team builds and ships
More from the job description
Senior Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. 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. Team Description 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. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you wil [... source excerpt omitted ...] hin 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. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but [... source excerpt omitted ...] delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: 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, Mathemati
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