Data Scientist, Sr,

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 is responsible for designing and implementing advanced simulation and optimization solutions to improve McKesson's supply chain efficiency. Working within the Enterprise Data Science Team, this role applies sophisticated data science methodologies to solve complex business problems related to inventory management, transportation, and network modeling. The candidate will develop statistical models, create digital twins, and provide actionable insights to support strategic decision-making. This position offers an exciting opportunity to influence critical supply chain operations through innovative analytic solutions, including stochastic process simulations and optimization frameworks. The role requires a proactive learner who can grasp new analytic approaches quickly and translate technical outputs into business value.

Responsibilities

• Design and develop digital twins, simulation models, and optimization frameworks to support supply chain decisions in inventory, transportation, and labor planning
• Translate simulation outputs and optimization results into clear, actionable recommendations for business partners
• Lead the implementation of innovative stochastic process solutions and drive their adoption across relevant business units
• Collaborate with cross-functional teams to identify opportunities for analytic improvements and process automation
• Develop and maintain dashboards, decision support tools, and applications that expose model insights to stakeholders
• Continuously evaluate and enhance existing models to improve accuracy, efficiency, and business impact
• Communicate complex analytic concepts and technical findings effectively to senior leadership and non-technical teams
• Stay updated on emerging analytic techniques and incorporate them into ongoing projects

Qualifications

• Degree in Operations Research, Data Science, Statistics, Computer Science, or related field
• Typically 7+ years of relevant industry experience
• Proven expertise in developing stochastic process simulations for supply chain decision-making
• Strong knowledge of probability, statistics, and machine learning techniques
• Experience with SQL for data wrangling and data management
• Proficiency in statistical modeling using Python and/or R
• Excellent communication skills for presenting complex results to technical and non-technical audiences
• Experience working with optimization solvers such as CPLEX, Gurobi, or Xpress (preferred)
• Knowledge of reinforcement learning or dynamic programming techniques (preferred)
• Experience developing decision support tools or dashboards (preferred)
• Familiarity with modern data platforms like Databricks, Snowflake, and Azure ML (preferred)
• Authorization to work in the U.S. without employer sponsorship

Benefits

• Competitive salary aligned with experience and skills
• Comprehensive health, dental, and vision insurance plans
• Retirement savings plans with company matching
• Paid time off and holidays
• Opportunities for professional development and continuous learning
• Work-life balance initiatives and flexible work arrangements
• Employee wellness programs and resources