Senior Manager, Data Science

Capital One

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

Posted 10/6/2026full-timeUnited StatesSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and validating machine learning models using Python, AWS, and open-source tools, while translating complex data science concepts into actionable business strategies. Proven ability to lead talent development and optimize data-driven processes in personal loan acquisition.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingAWS Cloud ComputingData Analysis with Open Source ToolsModel Validation and Backtesting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsMachine LearningRelational DatabasesClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel DevelopmentData Science Solutions

Soft Skills

Talent DevelopmentStakeholder EngagementProblem Solving

Tools & Technologies

PythonCondaAWSH2OSpark

Industry Keywords

Quantitative FieldPersonal Loan AcquisitionCampaign OptimizationUnderwritingPricingVerification

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonScalaSpark

About the role

Key responsibilities & impact

Partner with data scientists, software engineers, and product managers to deliver customer-focused products
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
Develop models for personal loan acquisition processes, including list selection, campaign and channel optimization, underwriting, pricing, and verification
Lead talent development and challenge conventional thinking with stakeholders

Requirements

What you’ll need

Bachelor's degree in a quantitative field plus 7 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 5 years, or PhD in a quantitative field plus 2 years
At least 2 years of experience leveraging open source programming languages for large-scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience building, validating, and backtesting models
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Experience with Python, Conda, AWS, H2O, Spark, and related technologies
Capital One will consider sponsoring a new qualified applicant for employment authorization
Preferred: PhD in STEM plus 4 years of experience in data analytics
Preferred: At least 1 year of experience working with AWS
Preferred: At least 2 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, including cash bonuses and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities