Director, Data Science

Capital One

. Partner with data scientists, AI/ML engineers, and product managers to deliver enterprise products .

Posted 9/28/2026full-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 cloud computing platforms to drive business value. Proven ability to analyze large datasets, conduct A/B testing, and translate complex technical concepts into actionable strategies for leadership.

Highest-signal resume keywords

AI/ML Model DevelopmentPython ProgrammingAWS Cloud ComputingData AnalyticsA/B Testing Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningDeep LearningClusteringClassificationSentiment AnalysisTime Series AnalysisModel EvaluationModel ValidationStatistical Analysis

Soft Skills

CollaborationCommunicationProblem SolvingLeadershipCritical Thinking

Tools & Technologies

PythonCondaAWSH2OSparkOpen Source ToolsData Science Solutions

Industry Keywords

Enterprise ProductsAI StrategyEcosystem ImpactBusiness ValueC-suite Leadership

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonScalaSpark

About the role

Key responsibilities & impact

Partner with 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 science strategy and analyze and optimize ecosystem impact
Drive business value at enterprise scale
Design experiments, including A/B tests
Model telemetry and translate 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 technical complexity into tangible business goals
Research and evaluate emerging technologies and state-of-the-art methods
Develop talent and challenge conventional thinking with stakeholders

Requirements

What you’ll need

Bachelor's Degree in a quantitative field plus 9 years of experience performing data analytics, or Master's Degree/MBA with quantitative concentration plus 7 years, or PhD in a quantitative field plus 4 years
Required degree must 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 building/deploying AI/ML models in production
At least 4 years of experience designing and analyzing A/B tests
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience with 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 5 years of experience in data analytics
Preferred: 3+ years working with AWS
Preferred: 5+ years with Python, Scala, or R for large scale data analysis
Preferred: 5+ years with machine learning
Preferred: 5+ years 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
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodations for applicants who require them
Equal opportunity and non-discrimination commitment
Drug-free workplace