Principal Associate Data Scientist, AI in Credit

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $161,800–$184,600 / yr
Posted: 16 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 $187k

This role $173k

$133k most similar roles pay here $239k

This role pays less than 52% of similar roles. Most pay $145,200–$228,991 — the shaded band above. At the midpoint, this role pays about $173k versus about $187k for comparable roles.

Based on 239 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 Associate Data Scientist, AI in Credit

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Principal Associate, Data Scientist - AI in Credit joins the US Card Intelligence Segments organization to develop next-generation predictive models that forecast how customers use credit cards. Working within a cross-functional team of engineers and analysts, you will build modeling approaches to predict outcomes in changing economic environments, apply explainability techniques to complex models, and create frameworks for AI-based decisioning in a highly regulated industry. The role requires expertise in big data retrieval, analysis, and interpretation. You will utilize Python, Scala, or R to perform machine learning tasks including clustering, classification, sentiment analysis, time series, and deep learning. This position focuses on the technical challenge of using advanced computing and machine learning to improve credit decisioning processes by analyzing billions of records to provide more accurate insights for cardholders.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

Machine Learning Python Scala R Deep Learning Big Data Distributed Computing Statistical Modeling Sentiment Analysis Clustering Classification High Performance Computing

What you'll do

Develop modeling approaches to forecast credit outcomes in changing economic environments.
Apply cutting-edge explainability techniques to extract insights from complex models.
Create frameworks for AI-model-based decisioning within a highly regulated industry.
Retrieve, combine, and analyze large datasets from various sources and structures.
Build, validate, and backtest machine learning models including clustering, classification, and time series.
Research and evaluate emerging technologies to implement state-of-the-art methods in credit decisioning.

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.
Experience with machine learning (preferred).
At least 3 years’ experience in Python, Scala, or R (preferred).
Experience in explainability (preferred).
Experience with distributed computing (preferred).
A Master's degree in an applied research field plus 3 years of experience in data science (preferred).

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