Lead Data Scientist – Commercial Intelligence & ML Operations
About The Position
McKesson is seeking a Lead Data Scientist specializing in Pricing Intelligence and Machine Learning Operations. The role leads the development and implementation of advanced analytical models and machine-learning solutions to optimize pricing strategies and ensure that models are deployed robustly, scalably, and efficiently within operational frameworks. The position works across customer, product, pricing, and commercial domains, translating analytical findings into business recommendations and partnering with engineering teams to operationalize solutions. It also provides technical leadership and mentorship to other data scientists and supports capabilities in optimization, forecasting, recommendations, and AI-driven decisioning.
Requirements
- 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 and 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.
- Bachelor’s degree in a quantitative or technical field, with substantial relevant experience.
Nice To Haves
- Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, Engineering, or another quantitative discipline preferred.
- 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.
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.
Benefits
- Competitive compensation package.
- Annual bonus or long-term incentive opportunities may be offered.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
