✦ Luna Orbit — Data & Analytics

Principal Data Scientist

at Capital One Financial

📍 2 Locations Unknown 💰 $161K – $184K USD / year Posted March 13, 2026
Salary $161K – $184K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

A data scientist role focused on developing machine learning models for credit underwriting and customer insights at Capital One.

  • Partner with cross-functional teams to deliver models
  • Leverage technologies like Python, AWS, Spark
  • Build models from design to deployment
  • Translate complex data into business insights
  • Collaborate on data strategy

Utilizes Python, Conda, AWS, H2O, Spark, and advanced statistical and machine learning techniques to analyze large datasets and build predictive models.

The ideal candidate is a mid-level data scientist with 3+ years of experience in statistical modeling, machine learning, and data analysis using open-source tools and cloud platforms like AWS. They should be creative, collaborative, and proficient in handling large datasets and developing scalable models.

Open-source languagesDeveloping data science solutionsModel buildingData analysisCloud computing platforms
Experience with ROC curveExperience with confusion matrixExperience with clusteringExperience with classificationExperience with sentiment analysisExperience with time seriesDeep learning
PythonCondaAWSH2OSpark
PythonCondaAWSH2OSparkMachine LearningStatistical ModelingText AnalyticsData ScienceBig DataClusteringClassificationSentiment AnalysisTime SeriesDeep Learning
PythonCondaAWSAmazon Web ServicesH2OSparkMachine LearningStatistical ModelingText AnalyticsData ScienceBig DataClusteringClassificationSentiment AnalysisTime SeriesDeep Learning
CreativityQuestioningInterpersonal SkillsCollaborationProblem-SolvingCommunication
Industry Finance/Banking/Fintech
Job Function Develop and implement machine learning models for credit and customer analytics
Data ScientistPythonCondaAWSAmazon Web ServicesH2OSparkMachine LearningStatistical ModelingText AnalyticsBig DataClusteringClassificationSentiment AnalysisTime SeriesDeep Learning

Lack of experience with cloud platforms like AWS, No experience with machine learning or statistical modeling, Unable to demonstrate experience with big data tools, No experience with open-source data science tools

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