Capital One
Principal Associate, Data Scientist - AI Software Engineering
Capital One, New York, New York, us, 10261
Principal Associate, Data Scientist – AI Software Engineering
Join Capital One as a Principal Associate, Data Scientist in our AI Foundations – AI Software Engineering Data Science team, building scalable AI architectures that transform software development.
Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state‑of‑the‑art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi‑agent solutions across the software development lifecycle—including code generation, migration, troubleshooting, root‑cause analysis, and documentation—leveraging technologies such as LangGraph, MCP, agent‑to‑agent protocols, and advanced model customization techniques.
Role Description In this role, you will:
Partner with a cross‑functional team to deliver a product customers love.
Leverage a broad stack of technologies—Python, Conda, AWS, H2O, Spark—to reveal insights hidden within large volumes of numeric and textual data.
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Translate complex technical work into tangible business goals.
Ideal Candidate
Innovative —researching and applying emerging technologies.
Creative —thriving on defining big, undefined problems and driving solutions.
Technical —comfortable with open‑source languages and passionate about advancing them.
Statistically‑mindset —experiences with model validation, ROC, clustering, classification, sentiment analysis, time series, deep learning.
Data guru —expertise retrieving, combining, and analyzing data from diverse sources and structures.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following with expected completion before start date:
Bachelor's Degree in a quantitative field + 5 years of data analytics experience.
Master's Degree or MBA with quantitative concentration + 3 years of data analytics experience.
PhD in a quantitative field (no experience requirement listed).
Preferred Qualifications
Master’s Degree in STEM + 3 years of data analytics experience, or PhD in STEM.
Experience working with AWS.
Experience building production‑grade agentic platforms, including RAG and graph‑augmented systems, MCP or tool‑calling integrations.
Demonstrated expertise in advanced model customization techniques such as fine‑tuning, LoRA/QLoRA, reinforcement learning, or preference optimization.
Prior research and publications in AI/ML conferences.
Benefits & Compensation Salary:
McLean, VA: $158,600 - $181,000
New York, NY: $173,000 - $197,400
San Jose, CA: $173,000 - $197,400
Eligible for performance‑based incentive compensation. Full‑time benefits include health, financial, and other benefits as per Capital One policy.
Work Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. If you require accommodations, contact Recruiting Accommodation at 1‑800‑304‑9102 or RecruitingAccommodation@capitalone.com.
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Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state‑of‑the‑art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi‑agent solutions across the software development lifecycle—including code generation, migration, troubleshooting, root‑cause analysis, and documentation—leveraging technologies such as LangGraph, MCP, agent‑to‑agent protocols, and advanced model customization techniques.
Role Description In this role, you will:
Partner with a cross‑functional team to deliver a product customers love.
Leverage a broad stack of technologies—Python, Conda, AWS, H2O, Spark—to reveal insights hidden within large volumes of numeric and textual data.
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Translate complex technical work into tangible business goals.
Ideal Candidate
Innovative —researching and applying emerging technologies.
Creative —thriving on defining big, undefined problems and driving solutions.
Technical —comfortable with open‑source languages and passionate about advancing them.
Statistically‑mindset —experiences with model validation, ROC, clustering, classification, sentiment analysis, time series, deep learning.
Data guru —expertise retrieving, combining, and analyzing data from diverse sources and structures.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following with expected completion before start date:
Bachelor's Degree in a quantitative field + 5 years of data analytics experience.
Master's Degree or MBA with quantitative concentration + 3 years of data analytics experience.
PhD in a quantitative field (no experience requirement listed).
Preferred Qualifications
Master’s Degree in STEM + 3 years of data analytics experience, or PhD in STEM.
Experience working with AWS.
Experience building production‑grade agentic platforms, including RAG and graph‑augmented systems, MCP or tool‑calling integrations.
Demonstrated expertise in advanced model customization techniques such as fine‑tuning, LoRA/QLoRA, reinforcement learning, or preference optimization.
Prior research and publications in AI/ML conferences.
Benefits & Compensation Salary:
McLean, VA: $158,600 - $181,000
New York, NY: $173,000 - $197,400
San Jose, CA: $173,000 - $197,400
Eligible for performance‑based incentive compensation. Full‑time benefits include health, financial, and other benefits as per Capital One policy.
Work Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. If you require accommodations, contact Recruiting Accommodation at 1‑800‑304‑9102 or RecruitingAccommodation@capitalone.com.
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