Senior Data Scientist – Supply Chain Operations

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 TitleSenior Data Scientist – Supply Chain Operations (Warehousing Focus)SummaryMcKesson is accelerating a multi-year Supply Chain Operations modernization agenda, starting with near-term value delivery and scaling toward advanced capabilities such as control towers, digital twins, and agent-enabled decisioning.We are seeking a highly hands-on Senior Data Scientist who combines strong data science expertise with applied industrial engineering experience to solve complex warehouse and distribution center challenges using data and AI.Note: This position is 2x per week on site in Missassauga following our flex and connect modelWhat You’ll DoDesign and build end-to-end data science solutions to solve complex warehouse problems:Labor planning and scheduling optimizationProductivity and performance analyticsWave batching and release optimizationFlow optimization and congestion reductionPredictive maintenance for warehouse automationException detection and control tower analyticsDevelop models that directly influence operational decisions, including optimization logic and recommendationsPartner with distribution center operators and SMEs to embed models into workflowsApply industrial engineering concepts:Capacity planning and constraint analysisWorkload balancing and throughput optimizationQueueing and system flow modelingTrade-offs between service, cost, and efficiencyTranslate operational problems into mathematical models, simulations, and heuristicsExtend solutions across supply chain domains (transportation, inventory, customer, quality)Build and productionize ML models, optimization engines, simulation frameworks, and pipelinesOwn full model lifecycle: development, testing, deployment, monitoringTranslate analytics into operational decisions and measurable business outcomesWhat You BringStrong hands-on experience building and deploying data science and machine learning solutionsDeep understanding of warehouse operations and supply chain systemsApplied industrial engineering mindset with real-world operations experienceAbility to solve ambiguous business problems end-to-endStrong stakeholder engagement and communication skillsExpertise in Python and SQLExperience with platforms like Databricks or SnowflakeExperience building production-grade pipelinesMinimum RequirementsDegree or equivalent and typically requires 7+ years of relevant experiencePreferable Skills & ExperienceSimulation, statistical modeling, and optimization (LP/MILP, heuristics)Time-series forecasting and machine learning (including anomaly detection)Experience designing decision systems (not just predictive models)Familiarity with real-time or near real-time decision systemsExposure to AI agents or automationSupply chain systems knowledge (WMS, LMS, TMS, ERP)Experience integrating data across systemsStrong ability to translate analytics into clear decisionsProven ability to influence stakeholders and drive adoptionExecutive-level communication skillsDirect experience in warehouse/DC problem solving:Labor planningFlow optimization (slotting, batching, wave release)Productivity managementAutomation or equipment analyticsException / control tower analyticsWe 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$99,100 - $132,100McKesson 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_Accommodat