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# Lead Data Scientist - Commercial Intelligence & ML Operations

- **Company:** McKesson
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Salary:** $155,300.0 - $258,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Big Data, Cloud Computing, Cluster Analysis, Monitoring of Systems, Python (Programming Language), Machine Learning, Recommender Systems, Standard Sql, Model Validation, Generative AI, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://mckesson.wd3.myworkdayjobs.com/en-US/External_Careers/job/USA-VA-Richmond/Lead-Data-Scientist---Commercial-Intelligence---ML-Operations_JR0155805

## About the Role

* 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.

## Description

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