Principal Data Scientist, Card Intelligence

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $161,800–$184,600 / yr
Posted: 15 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 $194k

This role $173k

$138k most similar roles pay here $236k

This role pays less than 59% of similar roles. Most pay $161,250–$226,800 — the shaded band above. At the midpoint, this role pays about $173k versus about $194k 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 Data Scientist, Card Intelligence

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Principal, Data Scientist - Card Intelligence joins the US Card Data Science organization to develop sophisticated machine learning models across the entire credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. Working within a cross-functional team of data scientists, software engineers, and product managers, you will translate complex insights into tangible business goals while managing large volumes of numeric and textual data. The role requires building models through all phases of development, from design to implementation. You will utilize a technical stack including Python, Conda, AWS, H2O, Spark, SQL, Scala, and R. Key responsibilities involve performing clustering, classification, sentiment analysis, time series, and deep learning to solve problems in the credit card industry. The position focuses on leveraging massive amounts of customer data to improve financial products and enhance the overall experience for cardholders.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

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

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Analyze large volumes of numeric and textual data using Python, Spark, H2O, and other technologies to reveal hidden insights.
Develop data science solutions using open-source tools and cloud computing platforms like AWS.
Translate complex technical findings into tangible business goals for stakeholders and product managers.
Retrieve, combine, and analyze data from various sources and structures to drive business strategy.
Research and evaluate emerging technologies and state-of-the-art methods to improve existing processes.
Solve large, undefined problems by identifying opportunities to improve the status quo of financial 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 1 year of experience working with AWS.
At least 3 years of experience in Python, Scala, or R.
At least 3 years of experience with machine learning.
At least 3 years of experience with SQL.
Experience building and validating models using techniques like clustering, classification, sentiment analysis, time series, and deep learning.

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