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Lead Data Scientist – Supply Chain

Mississauga, Canada Numéro du poste JR0146090 Catégorie Data Scientist, Information Technology Date de publication Apr. 20, 2026
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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.

Job Title

Lead Data Scientist, Supply Chain – Operations Research

Summary

The Lead Data Scientist, Supply Chain – Operations Research will architect and deliver advanced analytics, optimization, and AI/ML solutions to improve the efficiency, resilience, and working capital performance of McKesson’s supply chain. This role sits within McKesson’s Supply Chain & Operations Center of Excellence (COE) and focuses on enterprise-scale inventory optimization, simulation, and decision science initiatives.

What You’ll Do

  • Lead the design and implementation of AI/ML and operations research solutions to optimize enterprise inventory and supply chain systems
  • Develop stochastic, statistical, and optimization models to support next-best-action decision-making across the supply chain network
  • Design and enhance multi-echelon inventory optimization and simulation frameworks
  • Contribute to the development of enterprise-scale digital twins to support inventory and working capital management
  • Apply advanced statistical simulation and decision frameworks to complex supply chain problems
  • Support the development of AI/ML-driven monitoring solutions that proactively identify inventory and working capital optimization opportunities
  • Partner with stakeholders to translate business problems into analytical solutions and drive adoption of delivered products
  • Communicate analytical insights and recommendations clearly to both technical and non-technical audiences
  • Mentor and coach junior and developing data science team members
  • Collaborate cross-functionally to identify new analytics use cases and support long-term analytics roadmap execution

What You Bring

  • Strong expertise in operations research, optimization, and advanced statistical modeling
  • Demonstrated experience applying AI/ML techniques to large-scale, real-world supply chain or operations problems
  • Proven ability to lead complex analytical initiatives from problem framing through implementation and adoption
  • Ability to work across the full data lifecycle, from data exploration and modeling to scalable deployment and stakeholder consumption
  • Strong communication skills, with the ability to explain complex technical concepts to diverse audiences

Minimum Requirements

  • Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.

Preferable Skills & Experience

  • Experience with optimization solvers and toolkits such as CPLEX, Gurobi, XPress, or open-source solvers (e.g., CBC, GLPK)
  • Demonstrated experience solving enterprise inventory optimization and/or transportation optimization problems
  • Strong foundation in statistical methods and techniques, including regression, probability distributions, hypothesis testing, and A/B testing
  • Proficiency in object-oriented programming languages such as Python, Java, C#, or similar
  • Experience with statistical or analytical programming tools such as R, SAS, or MATLAB
  • Strong SQL and data wrangling skills across relational databases (e.g., Snowflake, SQL Server, Oracle)
  • Familiarity with cloud-based analytics platforms (Azure, AWS, GCP, Databricks)
  • Experience with data warehousing, ETL processes, and analytics best practices
  • Advanced Excel skills, including financial modeling and reporting
  • Prior experience working with enterprise systems such as SAP or JD Edwards is a plus

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$122,100 - $162,800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to 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. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

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McKesson a pris connaissance d'arnaques en ligne liées au recrutement dans lesquelles des individus non affiliés à McKesson ou autorisés par celle-ci utilisent le nom de McKesson (ou d'entités affiliées, telles que CoverMyMeds ou RxCrossroads) dans des courriels frauduleux, des offres d'emploi ou des messages sur les réseaux sociaux. Compte tenu de ces arnaques, veuillez garder à l'esprit ce qui suit :

 

  • Les conseillers en talent de McKesson ne demanderont jamais d'argent ni d'informations de carte de crédit dans le cadre d'une candidature à un emploi chez McKesson.
  • Les conseillers en talent de McKesson ne communiquent pas avec les candidats via des salles de discussion en ligne ou en utilisant des comptes courriels tels que Gmail ou Hotmail. Notez que McKesson s'appuie sur un assistant virtuel (Gia) pour certaines communications liées au recrutement avec les candidats.
  • Les offres d'emploi de McKesson sont publiées sur le site de carrières de McKesson: careers.mckesson.com.

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