Senior Director, Data Scientist

Capital One

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

Posted 10/26/2026full-timeUnited StatesSenior💰 $314,800 - $392,000 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 across various business functions. Proven ability to translate complex data science concepts into actionable business strategies while managing and developing talent within cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine Learning SolutionsAWS Cloud ComputingStatistical ModelingData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningStatistical ModelingModel ValidationClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRelational Databases

Soft Skills

Problem SolvingCollaborationTalent DevelopmentCommunication

Tools & Technologies

CondaH2OSparkOpen Source ToolsCloud Computing Platforms

Industry Keywords

Data ScienceCredit Card LifecycleFraud PreventionMarketingAcquisitionsUnderwriting

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
Research and evaluate emerging technologies and state-of-the-art methods
Define and solve complex, ambiguous problems
Challenge conventional thinking and improve existing approaches with stakeholders
Develop talent within the team and beyond
Drive data science and machine learning solutions across the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention

Requirements

What you’ll need

Bachelor's Degree in a quantitative field plus 11 years of experience performing data analytics, or Master's Degree in a quantitative field or MBA with a 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
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience with statistical modeling, model validation, backtesting, 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 7 years of experience in data analytics
Preferred: At least 1 year of experience 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
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
Reasonable accommodations for applicants who require them