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McKesson

Supplies medicines and technology to healthcare teams

Lead Data Scientist - Commercial Intelligence & ML Operations

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRichmond, VA, USAHybrid

About the Job

Requirements

  • At least 7 years of experience in data science, machine learning, advanced analytics, or a related quantitative field.
  • Strong Python and SQL skills.
  • A 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.
  • A strong understanding of data pipelines, model inputs and outputs, and data-quality validation.
  • Experience with model monitoring, lifecycle management, and explainability.
  • A bachelor's degree in a quantitative or technical field, with substantial relevant experience.

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.

Desired Qualifications

  • A master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, Engineering, or another quantitative discipline.
  • A PhD in a quantitative discipline.
  • Experience in pricing, revenue management, forecasting, optimization, or commercial analytics.
  • Experience with recommendation systems, segmentation, or predictive modeling.
  • Experience with machine learning operations 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.

About the Company

McKesson

Supplies medicines and technology to healthcare teams

McKesson distributes medicines and medical supplies to pharmacies, hospitals and other care providers, alongside services that connect drug manufacturers with patients. Its specialty businesses support community cancer care and clinical research, extending its work beyond moving products through warehouses. The company buys drugs and supplies from manufacturers for resale, while its software helps pharmacies manage inventory and healthcare teams secure insurance approval for prescriptions. It also sells practice management and patient support services to clinicians and drugmakers. McKesson traces its business roots to 1833 and is headquartered in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1833

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