✦ Luna Orbit — Data & Analytics

Senior Data Scientist

at Wells Fargo

📍 5 Locations Hybrid 💰 $153K – $239K USD / year Posted March 19, 2026
Salary $153K – $239K USD / year
Type Full-Time
Experience senior
Exp. Years 4+ years
Education Master's degree or higher in a quantitative discipline
Category Data & Analytics

This role involves developing and deploying complex statistical and machine learning models to support data-driven decision-making within the bank's consumer analytics team.

  • Develop statistical and ML models
  • Implement end-to-end modeling solutions
  • Collaborate with cross-functional teams
  • Ensure model documentation and compliance
  • Deploy models into production

The position requires expertise in statistical modeling, machine learning, Python, and data analysis, with a focus on deploying models at scale and ensuring analytical rigor.

The ideal candidate is a senior data scientist with extensive experience in statistical modeling, machine learning, and Python, capable of deploying complex models and influencing data-driven strategies.

Statistical ModelingMachine LearningPythonData Analysis
Behavioral PredictionModel DeploymentData ScienceForecastingModel Documentation
PythonModel Deployment Tools
Statistical ModelingMachine LearningPythonData AnalysisForecastingBehavioral PredictionModel DeploymentQuantitative AnalyticsData ScienceModel Documentation
Statistical ModelingMachine LearningPythonData AnalysisForecastingBehavioral PredictionModel DeploymentQuantitative AnalyticsData ScienceModel Documentation
Quantitative SkillsCommunicationCollaborationAnalytical ThinkingProblem-solvingPresentation Skills
Industry Financial Services / Banking / Data Science
Job Function Build and deploy advanced analytical models to enhance digital and data-driven experiences.
Role Subtype Data Scientist
Tech Domains Python, Data Analysis, Model Deployment, Statistics, Machine Learning
Senior Data Scientiststatistical modelingmachine learningpythondata analysismodel deploymentquantitative analyticsdata scienceforecastingbehavioral predictionmodel documentationanalyticsmodel riskdigital experiencesend-to-end modeling

No experience with machine learning or Python, Lack of quantitative skills, No experience in model deployment, Unable to work in hybrid environment, No background in data science

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