Principal Associate, Data Science – AI Foundations

Capital One

Data Scientist at Capital One leveraging AI technologies to enhance customer experience through digital assistance. Collaborating with cross-functional teams for innovative product development.

Posted 6/2/2026full-timeMcLean • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $161,800 - $201,400 per yearWebsite

Tech Stack

Tools & technologies

AWSPySparkPythonScalaSQL

About the role

Key responsibilities & impact

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software.
Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions.
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows.
Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems.
Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance.

Requirements

What you’ll need

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL

Benefits

Comp & perks

Health insurance
401(k) matching
Performance based incentive compensation
Comprehensive and inclusive set of health, financial and other benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAWSPysparkLangChainLangGraphHuggingFace TransformersvLLMVectorDBsNatural Language ProcessingMachine Learning

Soft Skills

cross-functional collaborationinnovationcommunicationleadershipproblem-solving

Certifications

Bachelor's DegreeMaster's DegreePhD