✦ Luna Orbit — AI & Machine Learning

Principal Associate, Data Science - US Card

at Discover Financial Services

📍 2 Locations Onsite 💰 $161K – $184K USD / year Posted April 03, 2026
Salary $161K – $184K USD / year
Type Full-Time
Experience senior
Exp. Years 3+ years
Education Bachelor's Degree in a quantitative field OR Master's/PhD in a quantitative field
Category AI & Machine Learning

Data Scientist role within US Card data science, building ML solutions across large-scale data and real-time prediction use cases.

  • Partner with cross-functional teams to deliver ML products
  • Build models through all development phases
  • Leverage Python/Conda/AWS/H2O/Spark to reveal insights
  • Translate complex ML work into business goals
  • Contribute to cross-team collaboration and business impact

Stack includes Python, Conda, AWS, H2O, Spark, SQL for building ML models, real-time predictions, and textual data analysis.

The ideal candidate is a senior data scientist with 3+ years of data analytics experience and a strong foundation in Python, AWS, and ML techniques, who can translate business goals into scalable ML solutions.

Bachelor's Degree in a quantitative field (StatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Scienceor related quantitative field)Master's Degree in a quantitative field (StatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Scienceor related quantitative field) or MBA with a quantitative concentrationPhD in a quantitative field (StatisticsEconomicsOperations ResearchAnalyticsMathematicsComputer Scienceor related quantitative field)Experience performing data analytics
Master's Degree in STEM (ScienceTechnologyEngineeringor Mathematics)PhD in STEM (ScienceTechnologyEngineeringor Mathematics)At least 1 year of experience working with AWSAt least 3 years' experience in PythonScalaor RAt least 3 years' experience with machine learningAt least 3 years' experience with SQL
PythonCondaAmazon Web ServicesAWSH2OApache SparkSQL
PythonCondaAmazon Web ServicesAWSH2OApache SparkSQLMachine LearningTime SeriesClusteringSentiment AnalysisDeep LearningROC CurveConfusion MatrixCross-functionalData Analytics
PythonCondaAmazon Web ServicesAWSH2OApache SparkSQLMachine LearningTime SeriesClusteringSentiment AnalysisDeep LearningROC CurveConfusion Matrix
CommunicationCollaborationInterpersonal skillsProblem solvingTeamworkBusiness acumen
Industry Banking
Job Function Develop and deploy ML-driven data products for US Card using a broad open-source and cloud stack
Role Subtype principal associate
Tech Domains Python, Conda, Amazon Web Services, AWS, H2O, Apache Spark, SQL, Machine Learning, Time Series, VectorDBs
Visa Sponsorship Yes
principal associatedata scienceus cardcapital oneawsamazon web servicespythoncondah2oapache sparksparksqlmachine learningmltime seriesclusteringsentiment analysisdeep learningroc curveconfusion matrixcross-functionaldata analyticsreal-timestatistical modeling

No degree in a quantitative field, Less than 3 years of data analytics experience, Lack of experience with AWS, Inability to work onsite in McLean, VA or New York, NY

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