Lead Data Science: Payments AI & NLP Foundations

Capital One National Association; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One in New York, NY seeks a Manager Data Science to lead AI foundations for the Global Payment Network. You’ll architect scalable ML engines using PyTorch, AWS, and vector databases, partnering with data scientists, ML engineers, and product managers to deliver NLP-enabled capabilities across billions of transactions.

The role demands strong background in ML/DL, LLMs, and deploying models at scale, with focus on business impact and cross-functional leadership.

Qualifications

• Bachelor's or higher in a quantitative field with data analytics experience; multiple pathways described in job posting.
• At least 1 year of experience using open source programming languages for large-scale data analytics.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, ML engineers, and product managers to deliver AI-powered capabilities that evaluate billions of network transactions and transform merchant intelligence.
• Leverage a modern tech stack - PyTorch, AWS, VectorDBs, and LLMs to extract actionable insights from complex numerical, tabular, and textual data feeds.
• Serve as the domain expert in Natural Language Processing (NLP) and Large Language Models (LLMs), adapting, fine-tuning, and deploying them for business users.
• Translate technical ML complexity into tangible business value and strategic goals.

Skills

Python

SQL

Machine Learning

NLP

LLMs

Scala

R

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

VectorDBs

LLMs

Job description

Capital One in New York, NY seeks a Manager Data Science to lead AI foundations for the Global Payment Network. You’ll architect scalable ML engines using PyTorch, AWS, and vector databases, partnering with data scientists, ML engineers, and product managers to deliver NLP-enabled capabilities across billions of transactions.

The role demands strong background in ML/DL, LLMs, and deploying models at scale, with focus on business impact and cross-functional leadership.