Senior Associate, Data Scientist

This role focuses on building NLP and machine learning models for Capital One’s People Strategy & Analytics organization. You will develop LLM-based solutions using prompt engineering and RAG, and partner with cross-functional teams to deliver HR tools and AI-powered products.

• Develop NLP and machine learning models through design, training, evaluation, validation, and implementation
• Apply prompt engineering and retrieval-augmented generation (RAG) for LLM applications
• Use evaluation metric frameworks for business-specific applications
• Partner across data scientists, software engineers, business analysts, and product managers
• Use Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, and Pytorch/TensorFlow to extract insights

You will build and iterate on NLP/ML models across the full lifecycle and apply open source LLM techniques, specifically prompt engineering and retrieval-augmented generation (RAG), using evaluation metric frameworks for business applications. The stack includes Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, and deep learning frameworks such as PyTorch and TensorFlow.

The ideal candidate is a senior data scientist experienced in developing NLP and machine learning models end-to-end (design through training, evaluation, validation, and implementation). They have hands-on LLM expertise including prompt engineering and retrieval-augmented generation (RAG), using tools such as LangChain, Hugging Face Transformers, VectorDBs, and deep learning frameworks like PyTorch and TensorFlow on AWS.