Senior Director, Data Scientist – Global Payment Network

Capital One

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

Posted 9/29/2026full-timeUnited StatesSenior💰 $245,100 - $335,700 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 complex projects within the financial services or fintech sectors.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalysisTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine Learning ModelsOpen-Source ProgrammingRelational DatabasesLarge-Scale Data AnalysisH2OSparkCondaStatistical AnalysisModel Evaluation

Soft Skills

Cross-Functional CollaborationProblem SolvingTalent DevelopmentCommunicationCritical Thinking

Tools & Technologies

AWSH2OSparkCondaOpen-Source ToolsCloud Computing Platforms

Industry Keywords

Financial ServicesFintechData Science SolutionsPaymentsQuantitative Field

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
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 and challenge conventional thinking
Research and evaluate emerging technologies and apply state-of-the-art methods
Define and solve ambiguous, large-scale problems
Develop data science solutions using open-source tools and cloud computing platforms

Requirements

What you’ll need

Bachelor's degree in a quantitative field plus 11 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 9 years, or PhD in a quantitative field plus 6 years
At least 6 years of experience leveraging open-source programming languages for large-scale data analysis
At least 6 years of experience working with machine learning
At least 6 years of experience utilizing relational databases
Extensive multi-project experience leading data science solutions within payments, financial services, or fintech sectors preferred
At least 1 year of experience working with AWS preferred
At least 4 years of experience managing people preferred
At least 6 years of experience in Python, Scala, or R for large-scale data analysis preferred
At least 7 years of experience with machine learning preferred
Currently has or is obtaining the required degree, with expectation of completion by the scheduled start date
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
Employment authorization sponsorship may be considered for a new qualified applicant
Reasonable accommodations for applicants with disabilities