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 will be a key contributor within McKesson's Enterprise Data Science Team, focusing on designing and deploying advanced simulation and optimization solutions to improve supply chain efficiency. This role involves developing innovative stochastic process models, digital twins, and decision support tools to optimize inventory, transportation, and labor planning. The candidate will work on strategic projects involving inventory optimization, transportation network modeling, and other supply chain challenges, translating complex data-driven insights into actionable recommendations for business stakeholders. The role requires a strong foundation in statistics, operations research, and data science, along with the ability to communicate complex concepts effectively to both technical and non-technical audiences.

Qualifications

Degree in Operations Research, Data Science, Applied Mathematics, Statistics, or related field

Typically 7+ years of relevant professional experience

Proficiency in developing stochastic process simulations and optimization models

Strong knowledge of probability, statistics, and machine learning techniques

Experience with SQL for data wrangling and manipulation

Hands-on experience with statistical modeling in Python and/or R

Excellent communication skills for presenting complex results to diverse audiences

Authorized to work in the U.S. without sponsorship

Responsibilities

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

Translate simulation outputs into clear, actionable insights for business partners

Drive adoption of innovative analytics solutions across supply chain functions

Collaborate with cross-functional teams to identify opportunities for process improvements

Maintain and enhance existing models, ensuring their accuracy and relevance

Develop dashboards, applications, or decision support tools to expose model insights to stakeholders

Stay current with emerging analytic methodologies and incorporate them into ongoing projects

Present findings and recommendations to technical and executive audiences effectively

Benefits

Competitive salary aligned with experience and skills

Comprehensive health, dental, and vision insurance plans

Retirement savings plans with company match

Paid time off and holidays

Opportunities for professional development and continuous learning

Work from home flexibility and flexible scheduling options

Employee wellness programs and resources

Equal Opportunity

McKesson is an Equal Opportunity Employer that values diversity and inclusion. We provide equal employment opportunities to all 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 equitable workplace and encourage candidates from all backgrounds to apply. If you require a reasonable accommodation during the application process, please contact us via the designated channels. For more information, please visit our Equal Employment Opportunity page.