Lead Data Scientist: NLP & ML at Scale

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

Job summary

Capital One is seeking a Data Scientist to partner with engineers, data scientists and product managers to build AI-powered products. You will apply NLP and LLM techniques, fine-tune models for customer-facing features, and deploy scalable ML/NLP solutions across billions of records for Capital One's customers.

You will work with PyTorch, AWS UltraClusters, Hugging Face, LangChain and VectorDBs, translating complex analyses into measurable business outcomes while influencing cross-functional

Qualifications

• 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.
• PhD in a quantitative field plus 1 year of data analytics experience.

Responsibilities

• Partner with a cross-functional team to deliver AI powered products.
• Leverage technologies like PyTorch, AWS, Hugging Face, LangChain and VectorDBs.
• Be the NLP expert to harness Large Language Models for customer-facing features.
• Build ML/NLP models from design to training, evaluation and deployment at scale.
• Translate complex work into tangible business goals.

Skills

Machine learning

Open source programming

Relational databases

Python

SQL

AWS

NLP

LLMs

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

SQL

AWS

Pytorch

LangChain

Hugging Face

Job description

Capital One is seeking a Data Scientist to partner with engineers, data scientists and product managers to build AI-powered products. You will apply NLP and LLM techniques, fine-tune models for customer-facing features, and deploy scalable ML/NLP solutions across billions of records for Capital One's customers.

You will work with PyTorch, AWS UltraClusters, Hugging Face, LangChain and VectorDBs, translating complex analyses into measurable business outcomes while influencing cross-functional