Director, Data Science – Consumer and Developer Experience

Capital One

. Support strategic priorities for Consumer and Developer Experience as part of the product strategy team .

Posted 10/15/2026full-timeRemote • United StatesLead💰 $244,700 - $335,100 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 that align with business objectives. Proven ability to analyze large datasets, build predictive models, and translate complex data science concepts into actionable insights.

Highest-signal resume keywords

Python ProgrammingMachine LearningData AnalysisAWS ExperienceRelational Database Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine Learning Model DevelopmentClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel ValidationBacktestingOpen-Source Tools

Soft Skills

Strategic ThinkingCollaborationStakeholder EngagementTalent DevelopmentAnalytical Problem Solving

Tools & Technologies

CondaH2OSparkCloud Computing PlatformsOpen-Source Programming Languages

Industry Keywords

Quantitative FieldData Science SolutionsBusiness ImpactEmerging TechnologiesDigital Experiences

Tech Stack

Tools & technologies

AWSCloudPythonScalaSpark

About the role

Key responsibilities & impact

Support strategic priorities for Consumer and Developer Experience as part of the product strategy team
Partner with software engineers, business analysts, and product managers to deliver customer-focused products and business impact
Tackle strategic and analytical questions and deliver insights that influence business decisions
Develop prototypes and partner with product and engineering teams to translate concepts into scaled digital experiences
Leverage 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
Challenge conventional thinking and identify improvements with stakeholders
Develop talent within the team and beyond

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a required degree by the scheduled start date
Bachelor's degree in a quantitative field plus 9 years of experience performing data analytics; or Master's degree in a quantitative field or MBA with a quantitative concentration plus 7 years; or PhD in a quantitative field 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 working with machine learning
At least 4 years of experience utilizing 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 building, validating, and backtesting models; interpreting confusion matrices and ROC curves
Preferred: PhD in STEM plus 5 years of experience in data analytics
Preferred: at least 1 year of experience 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
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