Senior Data Science & AI Foundations Lead

Hobbsnews; Northern (KY); Hybrid; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Senior Manager, Data Science - AI Foundations, to lead AI-powered product initiatives across billions of records. You will partner with product, tech, and design teams to deliver scalable NLP and ML solutions, optimize LLMs for customer experiences, and drive end-to-end development from design to production.

You will work with tools like PyTorch, Hugging Face, LangChain, and VectorDBs, focusing on scalable architectures and responsible, impact-driven data science at

Qualifications

• Bachelor's degree or higher in a quantitative field with relevant analytics experience.
• 2+ years using open source languages for large-scale data analytics.
• 2+ years of experience applying machine learning.
• 2+ years of experience with relational databases.

Responsibilities

• Collaborate with cross-functional teams to deliver AI-powered products.
• Utilize a broad stack (Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs) to analyze large data.
• Specialize in NLP and fine-tune LLMs for customer-facing apps.
• Build ML/NLP models from design through training, evaluation, and deployment.
• Translate complex work into tangible business goals.

Skills

Open source languages

Machine learning

Relational databases

NLP

Leadership

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 Ultraclusters

Hugging Face

LangChain

Lightning

VectorDBs

Job description

Capital One is seeking a Senior Manager, Data Science - AI Foundations, to lead AI-powered product initiatives across billions of records. You will partner with product, tech, and design teams to deliver scalable NLP and ML solutions, optimize LLMs for customer experiences, and drive end-to-end development from design to production.

You will work with tools like PyTorch, Hugging Face, LangChain, and VectorDBs, focusing on scalable architectures and responsible, impact-driven data science at