Director, Data Science – Consumer and Developer Experience

Capital One

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

Posted 10/9/2026full-timeRemote • United StatesLead💰 $244,700 - $335,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, machine learning, and open-source programming languages, with a strong ability to translate complex data insights into actionable business strategies. Proven experience in leveraging cloud computing platforms and developing data science solutions while managing cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalysisRelational Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsOpen Source ProgrammingClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningData RetrievalData CombinationData Analysis Techniques

Soft Skills

CollaborationStakeholder EngagementTalent Development

Tools & Technologies

CondaH2OSparkCloud Computing Platforms

Industry Keywords

Data ScienceEmerging TechnologiesBusiness Goals

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
Challenge conventional thinking and collaborate with stakeholders to improve the status quo
Develop talent for the team and beyond
Retrieve, combine, and analyze data from varied sources and structures

Requirements

What you’ll need

Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analytics
At least 4 years of experience in open source programming languages for large scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with relational databases
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: At least 1 year of experience working with AWS
Preferred: At least 3 years of experience managing people
Preferred: At least 5 years of experience in Python, Scala, or R for large scale data analysis
Preferred: At least 5 years of experience with machine learning

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 may be considered for a new qualified applicant