✦ Luna Orbit — Data & Analytics

Senior/Lead Data Scientist

at McKesson

📍 2 Locations Hybrid Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves leading the development and deployment of advanced analytics and machine learning solutions to improve healthcare operations and market competitiveness.

  • Drive analytics solutions
  • Partner with teams for deployment
  • Develop scalable data infrastructure
  • Ensure model governance
  • Innovate with NLP/LLM

The position requires expertise in ML, NLP, large language models, cloud platforms, and data infrastructure, with a focus on model governance and deployment.

The ideal candidate is a senior data scientist with extensive experience in machine learning, NLP, and deploying models in cloud environments. They possess strong technical leadership skills and a proven track record of delivering impactful analytics solutions in healthcare or related industries.

Advanced analyticsMachine learningData modelingModel deploymentModel monitoringData infrastructureCloud platforms
NLPLLMTime-series forecastingOptimizationSimulationCausal inference
PythonCloud-native toolsData platforms
Machine LearningMLTime-series forecastingOptimizationSimulationCausal inferenceLLMNLPModel deploymentModel monitoringData infrastructureCloud-native toolsPythonModel governance
Machine LearningMLTime-series forecastingOptimizationSimulationCausal inferenceLarge Language ModelsLLMNatural Language ProcessingNLPModel deploymentModel monitoringData infrastructureCloud-native toolsPythonData analysisModel governance
CommunicationLeadershipCollaborationProblem-solvingInnovation
Industry Healthcare IT
Job Function Lead data science initiatives to deliver impactful healthcare analytics solutions
Data ScientistMachine LearningMLTime-series forecastingOptimizationSimulationCausal inferenceLarge Language ModelsLLMNLPModel deploymentModel monitoringData infrastructureCloud-native toolsPythonModel governance

Lack of experience with cloud-native tools, No background in machine learning or NLP, Unable to demonstrate model deployment and monitoring skills

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