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

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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 use cases including marketing and customer servicing. 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 advanced architectures like transformers and graph ML. You will also leverage Agentic AI tools and workflows to innovate within the domain of entity resolution, ensuring high-quality results for a massive customer base through sophisticated statistical modeling and deep learning techniques.

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 Statistical Modeling

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, AWS, Spark, and transformer architectures to analyze large volumes of numeric and textual data.
Implement graph machine learning approaches to solve complex real-world business problems.
Integrate Agentic AI tools and workflows into the development and testing process.
Translate complex technical findings into tangible business goals for non-technical stakeholders.
Research and evaluate emerging technologies to maintain a state-of-the-art technology stack.

What we're looking for

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

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