✦ Luna Orbit — Data & Analytics

Principal Associate, Data Science - US Card

at Capital One Financial

📍 2 Locations Onsite 💰 $161K – $184K USD / year Posted April 05, 2026
Salary $161K – $184K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Bachelor's degree in a quantitative field
Category Data & Analytics

Principal Associate, Data Science for US Card at Capital One; develop and deploy ML models across customer management use cases using Python/Scala/R, SQL, Spark, and AWS across multiple locations.

  • Partner with data scientists, software engineers, and product managers; build ML models across development stages; leverage Python/Scala/R and SQL; utilize AWS/Spark/H2O; translate model outcomes into business goals

Stack includes Python, Scala, R, SQL, Apache Spark, H2O; cloud on AWS; production ML lifecycle with time series, sentiment analysis, and deep learning; cross-functional collaboration.

The ideal candidate is a mid-level data scientist with 3+ years of machine learning experience, strong Python/SQL skills, and AWS experience; ability to deliver ML solutions in a large-scale financial services environment.

Bachelor's degree in a quantitative field1+ year AWS experience3+ years Python/Scala/R3+ years machine learning3+ years SQL
Master's degree in STEM + 3 years analyticsPhD in STEMExperience with AWS (1+ year)
PythonScalaRSQLAWSAmazon Web ServicesApache SparkH2OCondaTime seriesSentiment analysisDeep learningConfusion matrixROC curve
PythonScalaRSQLApache SparkH2OCondaAmazon Web ServicesAWSTime seriesSentiment analysisDeep learningConfusion matrixROC curve
CommunicationInterpersonal skillsCollaborationAnalytical thinkingProblem solving
Industry Fintech
Job Function Develop and deploy data science solutions for US Card using modern ML tools and cloud platforms
Role Subtype Data Scientist
Tech Domains Python, Amazon Web Services, Apache Spark, SQL / PostgreSQL, Machine Learning
Visa Sponsorship Yes
data sciencepythonscalarsqlawsamazon web servicesapache sparkh2ocondamachine learningtime seriessentiment analysisdeep learningconfusion matrixroc curvecross-functional collaborationreal-time decision makingdata analyticsPythonSQLAWSAmazon Web ServicesMachine LearningData ScienceApache SparkH2OCondaTime series

Lack of 3+ years ML experience, No experience with AWS, No quantitative degree

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