Principal Associate Data Scientist, Card Intelligence

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $161,800–$184,600 / yr
Posted: 35 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $173k

$131k most similar roles pay here $224k

This role pays more than 54% of similar roles. Most pay $140,412–$215,250 — the shaded band above. At the midpoint, this role pays about $173k versus about $178k 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 Associate Data Scientist, Card Intelligence

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Principal Associate, Data Scientist - Card Intelligence joins the US Card Data Science team 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 build models through every phase from design and training to evaluation and implementation. You will analyze large volumes of numeric and textual data to solve complex problems and translate technical insights into tangible business goals. The role requires proficiency in Python, Conda, AWS, H2O, Spark, SQL, Scala, or R. Candidates must possess expertise in clustering, classification, sentiment analysis, time series, and deep learning while utilizing cloud computing platforms to manage big data from various sources to improve financial products 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 H2O SQL Conda Scala R Deep Learning Sentiment Analysis Time Series Clustering Classification Big Data Statistical Modeling

What you'll do

Develop 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 uncover insights.
Build and deploy sophisticated models for marketing, acquisitions, underwriting, and fraud prevention across the credit card lifecycle.
Translate complex technical findings into tangible business goals and actionable strategies for stakeholders.
Retrieve, combine, and analyze data from diverse sources and structures to inform decision-making.
Research and evaluate emerging technologies and state-of-the-art methods to improve existing products and 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 with 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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