Principal Associate, Data Science – US Card, Upmarket Segments

Capital One

. Partner with data scientists, software engineers, and product managers to deliver customer-focused products .

Posted 10/23/2026full-timeUnited StatesMid-Level💰 $147,100 - $201,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, machine learning model development, and cloud computing, with a strong foundation in quantitative fields. Proficient in translating complex data insights into actionable business strategies while fostering team talent development.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceSQL ProficiencyData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel BuildingValidationBacktestingClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningOpen-Source Tools

Soft Skills

Problem SolvingCollaborationStakeholder EngagementCommunicationTalent Development

Tools & Technologies

CondaH2OSparkCloud Computing Platforms

Industry Keywords

StatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Science

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with data scientists, software engineers, and product managers to deliver customer-focused products
Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Research and evaluate emerging technologies and apply state-of-the-art methods
Define and solve large, ambiguous problems
Challenge conventional thinking and identify improvements with stakeholders
Support talent development across the team
Retrieve, combine, and analyze data from a variety of sources and structures

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics; or a Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience performing data analytics; or a PhD in a quantitative field
Quantitative fields include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience with model building, validation, and backtesting
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Skills retrieving, combining, and analyzing data from varied sources and structures
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Reasonable accommodations for applicants who require them