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.

About The Role

The Senior Operations Research Scientist at McKesson plays a pivotal role in architecting and implementing simulation and optimization products aimed at enhancing the efficiency and effectiveness of our supply chain operations. This position is part of the Enterprise Data Science Team within the Operations Research group. The successful candidate will work on strategic projects involving inventory optimization, transportation, and network modeling to support decision-making processes across various supply chain functions. The role requires developing sophisticated statistical models and deriving actionable business insights to drive innovation and operational improvements. The candidate should be an active learner, capable of grasping new analytic approaches swiftly and applying them effectively to solve complex interdisciplinary problems.

This position involves designing, deploying, and measuring the impact of stochastic process simulation solutions, making significant improvements to existing models, and translating technical outputs into strategic recommendations for business partners. The role offers an exciting opportunity to influence supply chain strategies and contribute to McKesson’s mission of improving healthcare delivery through data-driven decision-making.

Qualifications

Bachelor’s degree or higher in Operations Research, Industrial Engineering, Data Science, Applied Mathematics, or related fields.

Typically requires 7+ years of relevant experience in operations research, data science, or related areas.

Demonstrated experience in developing stochastic process simulations for supply chain decision-making.

Strong foundation in probability, statistics, and modern machine learning techniques.

Proficiency in data wrangling and querying using SQL.

Experience with statistical modeling in Python and/or R.

Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Responsibilities

Design and develop digital twins, simulation frameworks, and optimization models to support inventory, transportation, and labor planning across the supply chain.

Translate simulation and optimization outputs into actionable insights and strategic recommendations for business partners.

Implement and refine stochastic process models to improve decision-making processes.

Collaborate with cross-functional teams to identify opportunities for operational improvements using data-driven approaches.

Drive adoption of innovative solutions and measure their impact on supply chain performance.

Stay current with emerging analytic techniques and incorporate them into existing frameworks as appropriate.

Develop dashboards, decision support tools, and applications to expose model outputs to end-users.

Engage with technical and non-technical stakeholders to facilitate understanding and implementation of solutions.

Benefits

Competitive base salary aligned with experience and skills.

Comprehensive health, dental, and vision insurance plans.

Retirement savings plans with company matching contributions.

Paid time off and holidays to support work-life balance.

Opportunities for professional development and continuous learning.

Inclusive and collaborative work environment fostering innovation.

Long-term incentives and performance-based bonuses.

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 creating an inclusive environment where all individuals can thrive.