Manager, Data Scientist – Business Cards & Payments

Capital One

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

Posted 11/5/2026full-timeUnited StatesMid-LevelSenior💰 $215,200 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building machine learning models and leveraging open-source programming languages for large-scale data analysis. Proficient in translating complex data insights into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine Learning ExperienceData AnalyticsCloud Computing PlatformsRelational Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Science SolutionsModeling SolutionsClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningData EvaluationData ValidationData Implementation

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

AWSH2OSparkConda

Industry Keywords

Quantitative FieldCredit UnderwritingBusiness Card Products

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonSpark

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
Use 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
Build full-spectrum modeling solutions across customer life cycles
Collaborate with business stakeholders, product, and software/ML engineering teams to develop innovative modeling approaches for credit underwriting and business card products

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's, Master's, MBA with a quantitative concentration, or PhD in a quantitative field, with the required degree obtained on or before the scheduled start date
Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics; or Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years; or PhD in a quantitative field plus 1 year
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year 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
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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 that support your total well-being
Equal opportunity employer committed to non-discrimination
Reasonable accommodations for applicants who require them