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.

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Job Summary 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.

Key Responsibilities 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

Required Skills7+ 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

Education

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

Preferred Qualifications 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.

About MMSMcKesson 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…