Principal Associate, Data Science – US Card, Upmarket Segments

Capital One

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

Posted 9/21/2026full-timeUnited StatesJuniorMid-Level💰 $147,100 - $201,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, machine learning, and cloud computing, with a strong foundation in Python, SQL, and AWS. Capable of translating complex data insights into actionable business strategies while contributing to team development.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalyticsSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine LearningPython ProgrammingSQL ProficiencyClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel Validation

Soft Skills

CollaborationCommunicationProblem-SolvingTalent Development

Tools & Technologies

AWSH2OSparkCondaOpen-Source Tools

Industry Keywords

Quantitative FieldStatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Science

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products
Leverage Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from 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
Identify and improve conventional approaches and the status quo
Contribute to talent development for the team and beyond

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 field may include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field
Master's Degree in a STEM field plus 3 years of experience in data analytics, or 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 (preferred)
At least 3 years' experience with SQL (preferred)
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience building, validating, and backtesting models
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Skills to retrieve, combine, and analyze data from varied sources and structures
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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 with disabilities