✦ Luna Orbit — Data & Analytics

Principal Data Scientist

at Discover Financial Services

📍 2 Locations Unknown 💰 $161K – $184K USD / year Posted March 21, 2026
Salary $161K – $184K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

Discover Financial Services is seeking a Principal Data Scientist to develop advanced machine learning models, analyze large datasets, and support data-driven decision-making in the financial industry.

  • Partner with cross-functional teams to deliver data science solutions
  • Build and validate machine learning models
  • Analyze big data to uncover insights
  • Develop statistical models for credit underwriting
  • Collaborate on data strategy

Proficiency in Python, AWS, Spark, H2O, relational databases, and statistical modeling techniques for large-scale data analysis and machine learning.

The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, statistical modeling, and data analysis. They should be proficient in Python, AWS, and Spark, with strong collaboration skills.

PythonMachine LearningData AnalysisStatistical Modeling
AWSSparkRelational DatabaseH2O
AWSH2OSparkRelational DatabasePythonConda
PythonCondaAWSH2OSparkMachine LearningStatistical ModelingData AnalysisRelational Database
PythonCondaAWSH2OSparkMachine LearningStatistical ModelingData AnalysisRelational Database
CreativityQuestioningCollaborationCommunicationProblem-solving
Industry Financial Services / Fintech
Job Function Developing and deploying machine learning models for financial data analysis
Role Subtype Data & Analytics
Tech Domains Python, Amazon Web Services, Spark, Relational Database, H2O
data scientistmachine learningpythonawssparkstatistical modelingdata analysisrelational databasebig datacloud computingdata science solutionsmodel developmentdata sourcescollaborationteamworkdata-driven decision makingdata science

Lack of experience with Python or machine learning, No experience with AWS or Spark, Less than 3 years of relevant experience

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