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Hybrid Lead Data Scientist at McKesson
McKesson’s Corporate
Full-time
Remote, Remote
Bio & Pharmacology & Health
Posted:
June 16, 2026
Location:
Remote, Remote, Canada
Job Description
Join McKesson as a Lead Data Scientist and tackle healthcare challenges with innovative Generative AI. Develop and deploy cutting-edge machine learning solutions in a hybrid work model.
As a Lead Data Scientist at McKesson, you will drive the design and implementation of advanced ML and GenAI solutions. Your role includes overseeing the entire lifecycle of AI projects, from ideation to deployment, ensuring alignment with enterprise standards. Collaboration with engineering teams to maintain production environments and providing mentorship to junior team members will be central to your success.
Key Responsibilities:
• Lead end-to-end AI solutions, including research and prototyping
• Develop scalable LLM-based applications and AI automation
• Drive adoption of best practices in machine learning techniques
• Collaborate with stakeholders to translate requirements into actionable insights
• Establish model performance tracking and continuous improvement processes
R...
As a Lead Data Scientist at McKesson, you will drive the design and implementation of advanced ML and GenAI solutions. Your role includes overseeing the entire lifecycle of AI projects, from ideation to deployment, ensuring alignment with enterprise standards. Collaboration with engineering teams to maintain production environments and providing mentorship to junior team members will be central to your success.
Key Responsibilities:
• Lead end-to-end AI solutions, including research and prototyping
• Develop scalable LLM-based applications and AI automation
• Drive adoption of best practices in machine learning techniques
• Collaborate with stakeholders to translate requirements into actionable insights
• Establish model performance tracking and continuous improvement processes
R...
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Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
Remote, Canada
Posted:
June 16, 2026
Deadline:
July 26, 2026