Data Science Senior Manager — AI Foundations & NLP

Information Technology Senior Management Forum; Riverwoods (IL); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Senior Manager, Data Science - AI Foundations to lead state-of-the-art AI/ML efforts and drive customer-facing features in a scalable production environment. You will partner with engineers, data scientists and product managers to deliver innovative AI solutions powering the company’s mobile and digital experiences.

The role emphasizes building NLP models, leveraging a broad tech stack, and delivering models at scale to support 80+ million customers.

Qualifications

• Degree in a quantitative field with substantial data analytics experience.
• Experience with open source programming languages for large-scale data analysis.
• Experience with machine learning and relational databases.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products for customers.
• Utilize a broad stack (Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs) to extract insights.
• Lead NLP efforts to adapt and finetune LLMs for customer-facing applications.
• Develop ML/NLP models from design to production, serving millions of customers.
• Translate complex work into tangible business goals.

Skills

Open source languages

Machine learning

Relational databases

Python

Scala

R

NLP / LLMs

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Pytorch

AWS

Hugging Face

LangChain

Lightning

VectorDBs

Job description

Capital One is seeking a Senior Manager, Data Science - AI Foundations to lead state-of-the-art AI/ML efforts and drive customer-facing features in a scalable production environment. You will partner with engineers, data scientists and product managers to deliver innovative AI solutions powering the company’s mobile and digital experiences.

The role emphasizes building NLP models, leveraging a broad tech stack, and delivering models at scale to support 80+ million customers.