Director, Data Scientist – Global Payment Network

Capital One

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

Posted 10/2/2026full-timeUnited StatesLead💰 $244,700 - $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 science solutions that drive business outcomes. Proven ability to lead cross-functional teams and manage talent while solving complex problems in the payments and financial services sectors.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalyticsTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine Learning Model DevelopmentOpen Source ProgrammingRelational DatabasesLarge Scale Data AnalysisStatistical AnalysisModel EvaluationModel ValidationData Science SolutionsAI Agent Development

Soft Skills

Cross-Functional CollaborationProblem SolvingTalent DevelopmentCommunicationResearch and Evaluation

Tools & Technologies

CondaH2OSparkCloud Computing PlatformsOpen-Source Tools

Industry Keywords

PaymentsFinancial ServicesFintechData ScienceFraud DetectionRisk ManagementMerchant Intelligence

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonScalaSpark

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
Lead and develop talent across the team
Research and evaluate emerging technologies and state-of-the-art methods
Define and solve large, ambiguous problems
Develop data science solutions using open-source tools and cloud computing platforms
Build machine learning and AI agents supporting fraud/risk, merchant acceptance, merchant intelligence, and monitoring across the payments ecosystem

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 or MBA with a quantitative concentration plus 7 years of experience, or PhD in a quantitative field plus 4 years of experience
Required degree expected to be obtained on or before the scheduled start date
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
Extensive multi-project experience leading data science solutions within payments, financial services, or fintech sectors
At least 1 year of experience working with AWS
At least 3 years of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
At least 5 years of experience with machine learning
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
Equal opportunity employer committed to non-discrimination
Reasonable accommodations for applicants who require them