Principal Data Scientist, Customer Protection Agentic Claims Data Science

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VA
Salary: $161,800–$184,600 / yr
Employment: Full-time
Posted: 77 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k

This role $173k

$133k $235k

below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $158,862–$220,862 — the blue band above. At the midpoint, this role pays about $173k versus about $190k 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, Customer Protection Agentic Claims Data Science

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The Principal Data Scientist, Customer Protection Agentic Claims Data Science joins the Bank Customer Protection Debit & Claims Data Science team. In this role, you will partner with cross-functional teams of data scientists, analysts, software engineers, and product managers to build machine learning models that improve claims processing systems. You will manage the full development lifecycle, including design, training, evaluation, validation, and implementation. To reveal insights within large volumes of numeric and textual data, you will utilize a technology stack including Python, Conda, AWS, H2O, and Spark. Your work involves applying techniques like representation learning, gradient boosting machines, clustering, classification, sentiment analysis, time series, and deep learning. These efforts solve the business problem of providing faster, smoother resolutions for customers while identifying fraudulent actors and scams.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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Skills

Python AWS Spark H2O SQL Machine Learning Deep Learning Gradient Boosting Machines Representation Learning Conda LLMs Time Series Clustering Classification Sentiment Analysis Statistical Modeling

What you'll do

Build machine learning models through all phases of development, including design, training, evaluation, and validation.
Analyze historical transaction activity, account usage, and merchant patterns to identify fraudulent signals.
Use Python, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Develop purpose-built models using representation learning and gradient boosting machines for real-time decision systems.
Improve claims processing systems to provide faster and smoother resolutions for customers.
Translate complex technical work into tangible business goals for non-technical stakeholders.
Retrieve and combine data from a variety of sources and structures to support data science initiatives.

What we're looking for

Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics.
Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
PhD in a quantitative field.
Master’s Degree in a STEM field plus 3 years of experience in data analytics (preferred).
PhD in a STEM field (preferred).
At least 3 years’ experience with machine learning for predictive tasks (preferred).
At least 3 years’ experience in Python (preferred).
At least 1 year of experience with SQL (preferred).
At least 1 year of experience working with AWS (preferred).
Experience coordinating data science projects in cross-functional teams (preferred).
Experience applying LLMs to solve real-world problems (preferred).

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