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 vital role in architecting and implementing advanced simulation and optimization solutions aimed at enhancing supply chain efficiency. As part of the Enterprise Data Science Team, you will work on strategic projects that leverage data science and operations research methodologies to solve complex business problems across inventory management, transportation, and network modeling. Your expertise will directly influence decision-making processes, driving innovation and operational excellence within McKesson’s supply chain operations.

This position involves developing statistical models, creating digital twins, and translating analytical outputs into actionable insights for business stakeholders. You will be instrumental in designing and deploying stochastic process simulations that support inventory optimization, transportation planning, and labor management. Your work will help streamline operations, reduce costs, and improve service levels, contributing to McKesson’s mission of making healthcare more accessible and affordable.

The ideal candidate will possess a strong foundation in data science, operations research, and statistical modeling, with a demonstrated ability to develop innovative solutions and communicate complex findings effectively to both technical and non-technical audiences. This role offers an exciting opportunity to work on high-impact projects that shape the future of healthcare logistics and supply chain management.

Qualifications

To be successful in this role, candidates should possess a degree in a relevant field such as Operations Research, Data Science, Statistics, Computer Science, or a related discipline, along with a minimum of seven years of relevant professional experience. Proven expertise in developing stochastic process simulations, mathematical modeling, and optimization techniques is essential. Candidates must have a strong understanding of probability, statistics, and machine learning methodologies.

Proficiency in data wrangling and querying using SQL is required, along with experience in statistical programming languages such as Python and R. Excellent communication skills are necessary to effectively present complex analytical results to diverse audiences, including senior leadership. A track record of translating data insights into strategic business recommendations is highly valued.

Additional preferred skills include experience with commercial or open-source optimization solvers like CPLEX, Gurobi, or Xpress, familiarity with reinforcement learning or approximate dynamic programming, and experience developing decision support tools or dashboards. Knowledge of modern data platforms such as Databricks, Snowflake, and Azure ML will be advantageous.

Candidates must be authorized to work in the U.S. without sponsorship now or in the future.

Responsibilities

Design, develop, and implement digital twins, simulation frameworks, and optimization models to support strategic decision-making across supply chain functions such as inventory, transportation, and labor planning.

Translate complex simulation and optimization outputs into clear, actionable recommendations for business stakeholders, facilitating data-driven decision-making.

Collaborate with cross-functional teams to identify opportunities for operational improvements and develop innovative solutions that address business challenges.

Lead the deployment of stochastic process models and ensure their integration into existing systems and workflows.

Monitor and measure the impact of implemented solutions, continuously refining models to enhance accuracy and effectiveness.

Stay current with emerging trends and advancements in operations research, data science, and analytics to ensure McKesson maintains a competitive edge.

Communicate findings and insights effectively through reports, presentations, and dashboards tailored to both technical and executive audiences.

Benefits

McKesson offers a comprehensive and competitive Total Rewards package designed to support our employees’ health, financial security, and well-being. Our benefits include health insurance options, retirement plans, paid time off, and wellness programs. We also provide opportunities for professional development, continuous learning, and career growth within a collaborative environment. Employees can take advantage of flexible work arrangements and various employee assistance programs to promote work-life balance. Our commitment to diversity and inclusion ensures a supportive workplace where all team members can thrive.

Equal Opportunity

McKesson is an Equal Opportunity Employer that values diversity and inclusion in the workplace. 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 inclusive environment where everyone feels valued and respected. For more information on our Equal Employment Opportunity policies, please visit our website. If you require a reasonable accommodation during the application process, please contact us via email.