Senior Operations Research Scientist

About the role

About The Company

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.

The Senior Operations Research Scientist role is responsible for architecting and implementing simulation and optimization products to enhance the efficiency and effectiveness of McKesson's supply chain operations as part of the Operations Research group within the Enterprise Data Science Team. Our team applies data science and operations research methodologies to interdisciplinary business problems across Supply Chain Operations. This position will work on strategic in-flight use cases around inventory optimization and upcoming use cases around transportation and network modelling. The candidate should possess the ability to develop statistical models and derive business insights that are required to drive innovation at McKesson. The candidate should also be an active learner able to grasp and apply new analytic approaches.

About The Role

The purpose of this position is to architect, implement, drive adoption, and measure the impact of innovative stochastic process simulation and optimization solutions at McKesson, as well as make significant improvements to existing solutions. The Senior Operations Research Scientist will play a key role in developing advanced analytical frameworks that support strategic decision-making across the supply chain. This includes designing digital twins, simulation models, and optimization algorithms that provide actionable insights to improve inventory management, transportation logistics, and labor planning.

In this role, you will collaborate closely with cross-functional teams, including supply chain managers, data engineers, and business stakeholders, to translate complex analytical outputs into practical recommendations. You will also be responsible for developing and deploying decision support tools, dashboards, and applications that enable business users to leverage model insights effectively. Your work will directly influence operational efficiencies, cost reductions, and service level improvements, making a tangible impact on the company's overall performance.

Qualifications

Candidates should possess a degree in a relevant field such as Operations Research, Industrial Engineering, Data Science, Mathematics, or Computer Science. Typically, a minimum of 7+ years of relevant experience in analytics, modeling, or operations research is required. The ideal candidate will have a strong foundation in probability, statistics, and machine learning, along with extensive experience in developing stochastic process simulations and optimization models.

Proficiency in SQL for data wrangling, as well as experience with statistical modeling tools such as Python or R, is essential. The candidate should have demonstrated success in translating complex analytical results into clear, actionable insights for both technical and non-technical audiences. Excellent communication skills, problem-solving abilities, and a proactive approach to learning new methodologies are vital for success in this role.

Responsibilities

Design, develop, and implement digital twins, simulation frameworks, and optimization models to support supply chain decision-making processes.

Apply stochastic process simulations to guide strategic decisions related to inventory, transportation, and labor planning.

Translate analytical outputs into practical recommendations and present findings to business partners and senior leadership.

Collaborate with cross-functional teams to identify opportunities for analytical solutions and drive adoption across the organization.

Develop decision support tools, dashboards, and applications that expose model insights to business users.

Continuously evaluate and improve existing models and solutions to enhance their accuracy, efficiency, and business impact.

Stay current with emerging trends in operations research, data science, and supply chain analytics to incorporate innovative approaches.

Benefits

McKesson offers a comprehensive benefits package designed to support the health, well-being, and financial security of our employees. This includes competitive health insurance options, retirement plans, paid time off, and wellness programs. We also provide opportunities for professional development, ongoing training, and career advancement. Our Total Rewards approach ensures that employees are recognized and rewarded for their contributions, including performance-based bonuses and long-term incentives. Additionally, we foster a collaborative and inclusive work environment that encourages innovation and work-life balance.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to fostering an inclusive environment where all individuals can thrive. If you require a reasonable accommodation during the application process, please contact us via the appropriate channels. For more information on our EEO policies, please visit our Equal Employment Opportunity page.