Lead Data Science Manager – Global Payments AI

Capital One National Association; Riverwoods (IL); In loco; USD 179.000 - 205.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a Manager Data Science for Global Payment Network AI Foundations. The role focuses on NLP/LLMs, scalable ML models, and cross-functional collaboration across data scientists, engineers, and product managers to enable AI-powered capabilities analyzing billions of network transactions.

The ideal candidate will have hands-on experience with PyTorch, AWS, and vector databases, plus a track record delivering models at scale and deploying AI solutions for business users.

Competenze

• Bachelor's degree in a quantitative field plus 6 years of data analytics experience.
• Master's degree in a quantitative field or MBA with quantitative concentration plus 4 years of data analytics experience.
• PhD in a quantitative field plus 1 year of data analytics experience.
• At least 1 year of experience leveraging open source programming languages for large scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Mansioni

• Partner with cross-functional teams to deliver AI-powered capabilities evaluating billions of network transactions.
• Leverage PyTorch, AWS, VectorDBs, and LLMs to extract actionable insights.
• Serve as NLP and LLM domain expert and deploy solutions for business users.
• Translate ML complexity into tangible business value and strategic goals.

Conoscenze

Data analytics

Machine learning

Relational databases

Python/Scala/R

NLP

LLMs

Vector databases

Open source languages

PyTorch

AWS

VectorDBs

Cloud computing

Formazione

Bachelor's Degree in a quantitative field

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

PhD in a quantitative field

Strumenti

PyTorch

AWS

VectorDBs

LLMs

Cloud computing

Descrizione del lavoro

Capital One is seeking a Manager Data Science for Global Payment Network AI Foundations. The role focuses on NLP/LLMs, scalable ML models, and cross-functional collaboration across data scientists, engineers, and product managers to enable AI-powered capabilities analyzing billions of network transactions.

The ideal candidate will have hands-on experience with PyTorch, AWS, and vector databases, plus a track record delivering models at scale and deploying AI solutions for business users.