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 9/29/2026full-timeUnited StatesLead💰 $209,500 - $286,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building scalable machine learning and AI solutions, leveraging Python, AWS, and open-source programming languages for large-scale data analysis. Proven ability to lead cross-functional teams and translate complex data science work into actionable business strategies within the payments and financial services sectors.

Highest-signal resume keywords

Machine LearningPython ProgrammingAWS ExperienceData AnalysisTeam Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningData AnalysisPython ProgrammingScala ProgrammingR ProgrammingRelational DatabasesH2OSparkData Science SolutionsLarge-Scale Data Analysis

Soft Skills

LeadershipCollaborationProblem SolvingCommunicationTalent Development

Tools & Technologies

AWSCondaH2OSpark

Industry Keywords

PaymentsFinancial ServicesFintechFraud/Risk ManagementMerchant Intelligence

Tech Stack

Tools & technologies

AWSPythonScalaSpark

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 while challenging conventional thinking and improving the status quo
Research and evaluate emerging technologies and apply state-of-the-art methods to data science solutions
Develop scalable machine learning and AI solutions supporting fraud/risk, merchant acceptance, merchant intelligence, and monitoring across the payments ecosystem

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a required degree by the scheduled start date
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
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 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