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Lead Data Scientist – Supply Chain

Mississauga, Canada Numéro du poste JR0144465 Catégorie Data Scientist, Information Technology Date de publication Apr. 17, 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, Operations Research

Summary

The Lead Data Scientist, Operations Research is responsible for architecting and implementing advanced AI/ML and Operations Research solutions that enhance the efficiency and effectiveness of McKesson’s enterprise supply chain. As part of the Supply Chain & Operations Research Center of Excellence (COE), this role leads strategic initiatives focused on inventory optimization, working capital management, and next‑generation decision intelligence.

What You’ll Do

  • Architect, lead, and implement AI/ML‑driven Operations Research frameworks to optimize enterprise inventory management systems
  • Develop stochastic and statistical models to drive next‑best actions across the supply chain
  • Lead the design and development of an enterprise‑scale digital twin for inventory optimization
  • Develop inventory optimization and multi‑echelon simulation frameworks for supply chain decisioning
  • Lead development of statistical simulation and decision science frameworks
  • Build AI/ML‑driven continuous monitoring systems to dynamically assess network health and identify working capital opportunities
  • Play a leading role in applying Reinforcement Learning to dynamic pricing and safety stock optimization
  • Translate complex analytical insights into clear, actionable recommendations for both technical and non‑technical stakeholders
  • Mentor and guide junior and developing data science and analytics resources
  • Partner with business stakeholders to gather requirements, drive adoption, and measure business impact of analytical solutions
  • Support cultivation of analytics‑driven business development opportunities
  • Assist in developing and maintaining strong, long‑term stakeholder relationships across Supply Chain and Operations

What You Bring

  • Deep expertise in statistical modeling, optimization, and Operations Research techniques applied to enterprise‑scale problems
  • Demonstrated experience solving complex inventory optimization and/or transportation optimization problems
  • Strong ability to architect end‑to‑end analytical solutions across the full data lifecycle, from data wrangling to enterprise‑scale consumption
  • Proven ability to communicate complex technical concepts to non‑technical audiences
  • Strong foundation in machine learning and data science best practices
  • Hands‑on experience with object‑oriented programming (Python preferred; Java, C#, VBA acceptable)
  • Advanced statistical knowledge including regression, hypothesis testing, probability distributions, A/B testing, and outlier analysis
  • Active learner mindset with the ability to adopt emerging analytical methods and technologies
  • Leadership mindset with experience mentoring and guiding developing talent

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, XPressMP, or open‑source solvers (CBC, GLPK)
  • Knowledge of statistical programming tools (SAS, R, MATLAB)
  • Experience working with relational databases (SQL Server, Snowflake, Oracle)
  • Familiarity with cloud computing platforms (Azure, AWS, Google Cloud, Databricks preferred)
  • Prior experience with enterprise ERP systems (SAP, JD Edwards preferred)
  • Understanding of data warehousing and ETL best practices
  • Strong analytical and process‑oriented thinking skills
  • Proficiency with Excel, financial modeling, and business reporting
  • Strong written and verbal communication skills
  • Collaborative, team‑oriented mindset

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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