McKesson
Healthcare
SeniorDataScientist-OperationsResearch
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist - Operations Research at McKesson. Skills: Operations Research, Simulation, Optimization, Data Science. Architect simulation and optimization products. Implement simulation and optimization products”
What You'll Achieve.
Enhance efficiency of supply chain operations; Enhance effectiveness of supply chain operations; Drive innovation; Measure impact of simulation solutions
Industry & Context.
Operations Research; Data Science; Simulation; Optimization; Statistical Modeling; Data Wrangling
2 days a week in office
What They're Looking For.
Must Have
5+ years operations research / data science / programming experience, Masters or Ph. D. degree in Statistics, Operations Research, Applied Mathematics, Industrial Engineering or other related quantitative fields, Demonstrated experience in developing stochastic process simulations, Foundation in probability and statistics, Foundation in random variables, Foundation in probability distributions, Foundation in hypothesis testing, Foundation in regression, Foundation in modern machine learning methods, Demonstrated experience in data wrangling problems leveraging SQL, Experience with statistical modeling in Python, Experience with statistical modeling in R, Experience in communicating results to technical leaders, Experience in communicating results to non-technical executive audiences
Nice to Have
Experience with commercial or open-source optimization solvers, Familiarity with reinforcement learning, Familiarity with approximate dynamic programming techniques, Experience developing dashboards, Experience developing applications, Experience developing decision-support tools, Exposure to financial modeling, Exposure to cost optimization, Exposure to pricing analytics, Experience working in modern data and ML platforms, Experience working in Databricks, Experience working in Snowflake, Experience working in Azure ML
What You'll Do.
Architect simulation and optimization products
Implement simulation and optimization products
Enhance efficiency of supply chain operations
Enhance effectiveness of supply chain operations
Develop statistical models
Derive business insights
Grasp new analytic approaches
Apply new analytic approaches
Architect stochastic process simulation solutions
Implement stochastic process simulation solutions
Drive adoption of simulation solutions
Measure impact of simulation solutions
Improve existing simulation solutions
Develop digital twins
Apply simulation frameworks
Apply optimization frameworks
Aid decision making across supply chain
Translate simulation outputs
Translate optimization outputs
Provide concrete recommendations
How You'll Work.
Team & Collaboration
Communicate results to technical leaders; Communicate results to non-technical executive audiences
Communication Scope
Communicating results to technical leaders; Communicating results to non-technical executive audiences
Full Job Description
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. The Senior Operations Research Scientist role is responsible for architecting and implementing simulation and optimization products to enhance the efficiency and effectiveness of McKesson’s supply chain operations as part of the Operations Research group within the Enterprise Data Science Team. Our team applies data science and operations research methodologies to interdisciplinary business problems across Supply Chain Operations. This position will work on strategic in-flight use cases around inventory optimization and upcoming use cases around transportation and network modelling. The candidate should possess the ability to develop statistical models and derive business insights that are required to drive innovation at McKesson. The candidate should also be an active learner able to grasp and apply new analytic approaches. **_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 con
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