Principal Data Scientist, AI Foundations, Specialist Models

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $161,800–$184,600 / yr
Posted: 66 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k

This role $173k

$106k most similar roles pay here $238k

This role pays more than 58% of similar roles. Most pay $137,743–$205,906 — the shaded band above. At the midpoint, this role pays about $173k versus about $172k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

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

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Principal Data Scientist - AI Foundations, Specialist Models joins the Entity Resolution Systems team to build and ship state-of-the-art machine learning solutions for enterprise-wide use cases. You will partner with cross-functional teams of data scientists, software engineers, and product managers to develop a next-generation entity resolution stack. Your daily work involves building machine learning models through all phases of development, from design and training to evaluation and implementation. To solve complex problems involving large volumes of numeric and textual data, you will utilize a technical stack including Python, AWS, Spark, SQL, and Scala. You will specifically leverage advanced technologies such as transformer architectures, graph ML, and agentic AI tools. This role focuses on creating scalable solutions for entity resolution to improve customer servicing and marketing across the enterprise.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

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

What you'll do

Build next-generation entity resolution solutions using advanced machine learning techniques.
Develop and deploy models through all phases including design, training, evaluation, and validation.
Utilize Python, Spark, and AWS to extract insights from large volumes of numeric and textual data.
Implement state-of-the-art architectures such as transformers and graph machine learning.
Integrate Agentic AI tools and workflows into the development and testing processes.
Translate complex technical findings into tangible business goals for cross-functional stakeholders.
Research and evaluate emerging technologies to improve existing data science products.

What we're looking for

A Bachelor's degree in a quantitative field plus 5 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
A PhD in a quantitative field.
At least 3 years of experience in Python, Scala, or R.
At least 3 years of experience in machine learning.
At least 3 years of experience with SQL.
Experience working with AWS and cloud computing platforms.
Proficiency in advanced techniques including transformer architectures, graph ML, and deep learning.

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