Senior Manager, Data Scientist – Card Fraud Prevention

Capital One

Senior Manager, Data Scientist preventing card fraud at Capital One, a data-driven banking technology company. Building and deploying machine learning models across massive customer datasets to protect accounts.

Posted 8/11/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $262,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying machine learning models, utilizing Python, AWS, and open-source tools for large-scale data analysis. Capable of translating complex data insights into actionable business strategies while fostering team development.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingAWS Cloud ComputingData Analysis with Open Source ToolsRelational Database Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsModel ValidationClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningConfusion Matrices InterpretationROC Curves Interpretation

Soft Skills

Cross-Functional CollaborationTalent DevelopmentProblem SolvingInnovative Thinking

Tools & Technologies

PythonCondaAWSH2OSpark

Industry Keywords

Data ScienceFraud DetectionBusiness Goals TranslationEmerging Technologies Research

Tech Stack

Tools & technologies

AWSCloudOpen SourcePythonScalaSpark

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 related 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
Detect and mitigate fraud by building and deploying machine learning models that keep customer accounts safe and compliant
Retrieve, combine, and analyze data from varied sources and structures
Research and evaluate emerging technologies and state-of-the-art methods
Challenge conventional thinking and identify opportunities to improve the status quo
Support talent development for the team and beyond

Requirements

What you’ll need

Currently has, or is obtaining, a required degree expected by the scheduled start date
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 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 interpreting confusion matrices and ROC curves
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Ability to retrieve, combine, and analyze data from varied sources and structures
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 1 year of experience managing people
Preferred: at least 5 years’ experience in Python, Scala, or R for large scale data analysis
Preferred: at least 5 years’ 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 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