Director, Data Scientist - US Card

Capital One

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

Posted 10/26/2026full-timeUnited StatesLead💰 $269,100 - $335,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, AWS, and machine learning to develop data-driven solutions that enhance customer experiences across the credit-card lifecycle. Proven ability to translate complex data insights into actionable business strategies while managing and developing talent within cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalyticsPeople Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel DevelopmentClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRelational DatabasesOpen-Source ToolsCloud Computing

Soft Skills

Stakeholder EngagementStrategic ThinkingTeam DevelopmentCommunication

Tools & Technologies

CondaH2OSpark

Industry Keywords

Credit-Card LifecycleFraud PreventionMarketingAcquisitionsUnderwriting

Tech Stack

Tools & technologies

AWSCloudPythonScalaSpark

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
Use 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
Shape business strategy and customer experiences across the credit-card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention
Research and evaluate emerging technologies and apply state-of-the-art methods
Challenge conventional thinking and identify improvements with stakeholders
Develop talent within the team and beyond

Requirements

What you’ll need

Bachelor's degree in a quantitative field plus 9 years of experience performing data analytics, or Master's degree in a quantitative field/MBA with quantitative concentration plus 7 years, or PhD in a quantitative field plus 4 years
At least 4 years of experience leveraging open-source programming languages for large-scale data analysis
At least 4 years of experience working with machine learning
At least 4 years of experience utilizing relational databases
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
Experience retrieving, combining, and analyzing data from varied sources and structures
Preferred: PhD in STEM plus 5 years of data analytics experience
Preferred: at least 1 year of AWS experience
Preferred: at least 3 years of people-management experience
Preferred: at least 5 years of Python, Scala, or R experience for large-scale data analysis
Preferred: at least 5 years of machine-learning experience
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses 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