LLM Customization Data Scientist – Senior Associate

COMFORT SYSTEMS; New York (NY); On-site; USD 148,000 - 169,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist on the LLM Customization Team in New York, NY. You will partner with data scientists, engineers, and product managers to build AI-powered customer experiences using LLMs and state-of-the-art NLP techniques.

You will train and fine-tune LLMs, integrate with production systems, and translate complex ML results into impactful business outcomes. The role emphasizes collaboration, cloud tooling, and scalable data science at a major financial

Qualifications

• Bachelor's or Master's in a quantitative field with analytics experience.
• 2+ years in Python, Scala, or R.
• 2+ years’ experience in machine learning (and NLP).
• Experience with cloud platforms (AWS) is preferred.

Responsibilities

• Collaborate with cross-functional teams to deliver AI-powered products for customer interactions.
• Utilize PyTorch, Hugging Face, AWS, LangChain, and VectorDBs to extract insights from large data volumes.
• Serve as NLP expert to adapt and fine-tune LLMs for business applications.
• Develop NLP models through design, training, evaluation, and productionization with engineering partners.
• Translate complex ML concepts into tangible business goals.

Skills

Python

Scala

R

Machine Learning

NLP

Distributed systems

Education

Bachelor's Degree in a quantitative field

Master's Degree in STEM or MBA with quantitative concentration

Tools

AWS

PyTorch

Hugging Face

LangChain

VectorDBs

Job description

Capital One is seeking a Senior Associate, Data Scientist on the LLM Customization Team in New York, NY. You will partner with data scientists, engineers, and product managers to build AI-powered customer experiences using LLMs and state-of-the-art NLP techniques.

You will train and fine-tune LLMs, integrate with production systems, and translate complex ML results into impactful business outcomes. The role emphasizes collaboration, cloud tooling, and scalable data science at a major financial