Director, Data Science

Capital One

. Partner with cross-functional teams of data scientists, AI/ML engineers, and product managers to deliver enterprise products .

Posted 9/30/2026full-timeUnited StatesLead💰 $244,700 - $335,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI/ML models, leveraging open-source programming languages, and utilizing cloud computing platforms to drive business value. Capable of translating complex data science concepts into actionable strategies for enterprise-level impact.

Highest-signal resume keywords

AI/ML Model DevelopmentPython ProgrammingAWS Cloud ComputingA/B Testing DesignData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningDeep LearningClusteringClassificationSentiment AnalysisTime Series AnalysisModel EvaluationModel ValidationData Telemetry

Soft Skills

Cross-Functional CollaborationStakeholder EngagementTalent DevelopmentStrategic ThinkingProblem Solving

Tools & Technologies

PythonCondaAWSH2OSpark

Industry Keywords

Enterprise ProductsAgentic AIData Science SolutionsQuantitative FieldOpen-Source Tools

Tech Stack

Tools & technologies

AWSCloudPythonScalaSpark

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, AI/ML engineers, and product managers to deliver enterprise products
Design AI/ML models and build solutions for agentic AI products
Define long-term strategy and analyze and optimize ecosystem impact
Drive business value at enterprise scale
Design experiments, including A/B tests
Model telemetry and turn results into AI strategy and guidance for C-suite leadership
Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze 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 apply state-of-the-art methods
Retrieve, combine, and analyze data from varied sources and structures
Develop talent and challenge conventional thinking with stakeholders

Requirements

What you’ll need

Currently has, or is in the process of obtaining by the scheduled start date, a qualifying degree in a quantitative field
Bachelor's degree plus 9 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 7 years, or PhD 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 building/deploying AI/ML models in production
At least 4 years of experience designing and analyzing A/B tests
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Preferred: PhD in STEM plus 5 years of experience in data analytics
Preferred: 3+ years of experience working with AWS
Preferred: 5+ years of experience with Python, Scala, or R for large-scale data analysis
Preferred: 5+ years of experience with machine learning
Preferred: 5+ years of experience with Spark
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 accommodation support for applicants with disabilities