McKesson

Healthcare

SeniorDataScientist-OperationsResearch

$99–132k Mississauga, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Healthcare
Problems you'll solve

Operations Research; Data Science; Simulation; Optimization; Statistical Modeling; Data Wrangling

Eligibility Requirements

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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