Principal Associate Data Scientist

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILNew York, NY
Salary: $147,100–$167,900 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $158k

$132k $246k

below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $161,250–$225,062 — the blue band above. At the midpoint, this role pays about $158k versus about $193k 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 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate Data Scientist

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The Principal Associate, Data Scientist - Capital One Personal Loan joins the Personal Loan Acquisition modeling team to build machine learning models that help customers access appropriate loan products at optimal rates. Working within a cross-functional team of data scientists, software engineers, and product managers, the role involves developing predictive TDR and non-TDR models for acquisition processes including list selection, campaign optimization, underwriting, pricing, and verification. The successful candidate will build models through all phases of development, from design to implementation, while revealing insights within large volumes of numeric and textual data. Key technologies and skills include Python, Spark, AWS, Conda, and H2O. Required competencies involve experience with clustering, classification, sentiment analysis, time series, and deep learning to solve complex financial modeling problems.

What does a Data Scientist earn in Virginia?

Median $157844 from 85 postings across 8 companies.

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Skills

Python Spark AWS H2O SQL Scala R Conda Machine Learning Deep Learning Time Series Sentiment Analysis Clustering Classification Statistical Modeling

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Use Python, Spark, AWS, and H2O to extract insights from large volumes of numeric and textual data.
Develop predictive TDR and non-TDR models for list selection, campaign optimization, underwriting, pricing, and verification.
Translate complex technical work into tangible business goals for non-technical stakeholders.
Research and evaluate emerging technologies and state-of-the-art methods to apply to data science solutions.
Perform statistical analysis including clustering, classification, sentiment analysis, time series, and deep learning.

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.
Master’s Degree in a STEM field plus 3 years of experience in data analytics (preferred).
PhD in a STEM field (preferred).
At least 1 year of experience working with AWS (preferred).
At least 3 years’ experience in Python, Scala, or R (preferred).
At least 3 years’ experience with machine learning marketing or risk modeling (preferred).
At least 3 years’ experience with SQL (preferred).

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