Position Description
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.
Primary Analytic Responsibilities:
Develop and apply digital twins and simulation/optimization frameworks to aid decision making across supply chain areas such as inventory, transportation, and labor planning.
Ability to translate simulation and optimization outputs into concrete recommendations to business partners.
Minimum Requirements
Experience: 5+ years operations research / data science / programming experience based on combination of industry and academic experience.
Education: Masters or Ph.D. degree in a relevant technical field such as: Statistics, Operations Research, Applied Mathematics, Industrial Engineering or other related quantitati...
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