Principal Data Scientist, AI Foundations, Specialist Models

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $161,800–$184,600 / yr
Employment: Full-time
Posted: 112 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $173k

$121k $236k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $151,031–$212,400 — the blue band above. At the midpoint, this role pays about $173k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, AI Foundations, Specialist Models

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JOB TITLE: Principal Data Scientist - AI Foundations, Specialist Models The Principal Data Scientist - AI Foundations, Specialist Models joins the Entity Resolution Systems team to build and ship state-of-the-art machine learning solutions. This role involves partnering with cross-functional teams to develop a next-generation entity resolution stack that supports diverse use cases from marketing to customer servicing. You will design, train, evaluate, and implement models to solve real-world business problems by uncovering insights within massive volumes of numeric and textual data. The technical environment utilizes Python, AWS, Spark, SQL, and Scala, with a specific focus on transformers, graph ML, and deep learning architectures. You will also leverage agentic AI tools and workflows to innovate on modern, extensible systems. The work addresses the complex technical challenge of entity resolution across billions of customer records.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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Skills

Python AWS Spark SQL Scala R Machine Learning Deep Learning Transformers Graph ML Agentic AI Statistical Modeling Clustering Classification Sentiment Analysis Time Series Big Data

What you'll do

Build a next-generation entity resolution solution using cutting-edge machine learning approaches.
Develop machine learning models through all phases including design, training, evaluation, validation, and implementation.
Utilize Python, AWS, Spark, transformers, and graph ML to analyze large volumes of numeric and textual data.
Leverage Agentic AI tools and workflows to build and test new systems.
Translate complex technical work into tangible business goals for stakeholders.
Research and evaluate emerging technologies and state-of-the-art methods for real-world applications.
Retrieve, combine, and analyze data from a variety of sources and structures.

What we're looking for

Must have a Bachelor's degree in a quantitative field plus 5 years of data analytics experience.
Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data analytics experience.
Must have a PhD in a quantitative field.
Experience working with AWS (preferred).
At least 3 years of experience in Python, Scala, or R (preferred).
At least 3 years of experience with machine learning (preferred).
At least 3 years of experience with SQL (preferred).
Experience with transformers, graph ML, and deep learning is required.

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