Senior Data Science Manager — AI & NLP Leader

Capital One; Chicago (IL); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Data Scientist Sr Manager to lead AI/ML initiatives across billions of records, driving data-driven decisions. The role emphasizes NLP, LLMs, and scalable production systems while collaborating with data scientists, software engineers, and product managers.

You will apply a broad stack including Pytorch, AWS, Hugging Face, LangChain, and vector databases to extract insights from large numeric and textual datasets, impacting fraud/risk, merchant intelligence, and payments

Qualifications

• Bachelor's degree in a quantitative field plus 7 years of experience performing data analytics
• Master's degree in a quantitative field or MBA with a quantitative concentration plus 5 years of experience performing data analytics
• PhD in a quantitative field plus 2 years of experience performing data analytics
• At least 2 years of experience leveraging open source programming languages for large scale data analysis
• At least 2 years of experience working with machine learning
• At least 2 years of experience utilizing relational databases

Responsibilities

• Partner with cross-functional teams to deliver AI powered products
• Leverage technologies like Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs
• Be the NLP expert to harness Large Language Models for customer facing applications
• Build ML and NLP models from design through training, evaluation, and deployment
• Translate complex work into tangible business goals

Skills

Open source programming

Machine learning

Relational databases

Python

Scala

SQL

NLP

LLMs

AWS

Education

Bachelor's degree in a quantitative field

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

PhD in a quantitative field

Tools

Python

Scala

R

SQL

AWS

Pytorch

Hugging Face

Job description

Capital One is seeking a Data Scientist Sr Manager to lead AI/ML initiatives across billions of records, driving data-driven decisions. The role emphasizes NLP, LLMs, and scalable production systems while collaborating with data scientists, software engineers, and product managers.

You will apply a broad stack including Pytorch, AWS, Hugging Face, LangChain, and vector databases to extract insights from large numeric and textual datasets, impacting fraud/risk, merchant intelligence, and payments