✦ Luna Orbit — Data & Analytics

Principal Associate, Data Scientist

at Capital One Financial

📍 McLean, VA Onsite 💰 $161K – $184K USD / year Posted April 02, 2026
Salary $161K – $184K USD / year
Type Full-Time
Experience senior
Exp. Years 3-5 years
Education Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) with 5+ years experience OR a Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience OR a PhD in a quantitative field
Category Data & Analytics

Capital One Data Scientist role focused on developing behavior models for balance sheet portfolios and supporting multiple business purposes with rigorous statistical methods.

  • Develop and support econometric time-series models for the balance sheet
  • Identify opportunities to apply quantitative methods to improve business performance
  • Demonstrate track record in behavior model development
  • Communicate models and methods to management, model risk office, regulators and other modelers
  • Develop and maintain high quality and transparent documentation

Role emphasizes econometric time-series modeling, Python and SQL for data analysis, and AWS for cloud-based modeling. Requires ML and deep learning experience and strong ability to document and communicate models to risk, regulators, and stakeholders.

The ideal candidate is a senior data scientist with strong background in econometric time-series modeling for balance sheet portfolios, plus 3+ years of Python, 3+ years of machine learning, and at least 1 year of AWS experience. The candidate communicates complex models clearly to management and auditors, and thrives in a fast-paced banking analytics environment.

Bachelor's Degree in a quantitative field with 5+ years experience or Master's Degree with 3+ years or PhDExperience with PythonExperience with SQLExperience with AWS (Amazon Web Services)
Experience with machine learningExperience with time-series and econometric modelingExperience with ROC curves and confusion matricesDocumentation and model governance
PythonAmazon Web ServicesAWSSQL
Econometric time-series modelingtime-seriesPythonSQLAWSAmazon Web ServicesMachine LearningDeep LearningClusteringClassificationSentiment AnalysisROC CurveConfusion MatrixStatistical ModelingOpen-source toolsCloud computing platformsDocumentation
PythonSQLAWSAmazon Web ServicesTime-Series ModelingEconometric Time-Series ModelsDeep LearningMachine LearningClusteringClassificationSentiment AnalysisROC CurveConfusion MatrixStatistical ModelingOpen-source toolsCloud computing platformsDocumentation
CommunicationCollaborationProblem-solvingDocumentationAnalytical thinkingAbility to explain models to management
Industry Banking
Job Function Develops behavior models and quantitative analyses to support banking balance sheet decision-making and regulatory communications.
Role Subtype Data Scientist
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services
Visa Sponsorship Yes
Data ScientistPrincipal AssociateCapital OneMcLeanVAeconometric time-series modelstime-seriesTime SeriesPythonSQLAWSAmazon Web ServicesMachine LearningDeep LearningClusteringClassificationSentiment AnalysisROC CurveConfusion MatrixStatistical ModelingOpen-source toolsCloud computing platformsDocumentationTime-SeriesEconometric Time-Series Models

Not meeting minimum education/experience requirements, No experience with Python, No experience with SQL, No AWS experience

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