Lead Data Scientist – Commercial Intelligence & ML Operations

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas.

Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

We are seeking a highly skilled and experienced Lead Data Scientist specializing in Pricing Intelligence and Machine Learning Operations to join McKesson Corporation. This role will lead the development and implementation of advanced analytical models and ML solutions to optimize pricing strategies and ensure robust, scalable, and efficient deployment of these models within our operational frameworks.

• Develop, maintain, and improve predictive and machine-learning models
• Lead advanced analytics initiatives across customer, product, pricing, and commercial domains
• Monitor production models for accuracy, reliability, and data quality
• Troubleshoot model and data issues across analytical workflows
• Establish model validation, testing, monitoring, and governance standards
• Translate analytical findings into clear business recommendations
• Partner with engineering teams to operationalize models and analytical solutions
• Provide technical leadership and mentorship to other data scientists
• Support development of optimization, forecasting, recommendation, and AI-driven decisioning capabilities

• 7+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related quantitative field
• Strong Python and SQL skills
• Strong foundation in statistical modeling, machine learning, regression, clustering, and predictive analytics
• Experience deploying and supporting models in production environments
• Experience working with large-scale datasets and cloud-based analytical platforms
• Strong understanding of data pipelines, model inputs/outputs, and data-quality validation
• Experience with model monitoring, lifecycle management, and explainability
• Strong problem-solving and communication skills
• Demonstrated ability to lead technical work and collaborate across business and technology teams

Master’s degree preferred in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, Engineering, or another quantitative discipline
Bachelor’s degree required in a quantitative or technical field with substantial relevant experience
PhD in a quantitative discipline is a plus, but not required

• Experience in pricing, revenue management, forecasting, optimization, or commercial analytics
• Experience with recommendation systems, segmentation, or predictive modeling
• Experience with MLOps and production model deployment
• Familiarity with Generative AI and modern AI-assisted analytical solutions
• Experience supporting business-critical analytical applications
• Prior experience mentoring or leading other data scientists
• Experience in the healthcare or pharmaceutical industry is a plus.

McKesson Medical‑Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical‑surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets – often referred to as…