About The Company

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.

About The Role

The Senior Data Scientist - Supply Chain Operations (Warehousing Focus) at McKesson plays a vital role in transforming our supply chain through advanced data science and industrial engineering techniques. This position is integral to our multi-year modernization initiative aimed at optimizing warehouse and distribution center operations. The successful candidate will utilize their expertise to develop innovative solutions that enhance productivity, reduce congestion, and improve overall efficiency within our warehousing network. This role offers a unique opportunity to work at the intersection of data science, operations management, and supply chain strategy, directly impacting the company's ability to deliver healthcare products efficiently and effectively.

Note: This position requires on-site presence twice a week in Mississauga, following our flexible work model.

Qualifications

The ideal candidate will possess a minimum of 7 years of relevant experience in data science, industrial engineering, or supply chain operations. A strong educational background with a degree in a related field is essential. Proficiency in Python and SQL is mandatory, with experience in platforms such as Databricks or Snowflake highly preferred. Candidates should demonstrate a proven track record of building and deploying production-grade machine learning models, optimization engines, and simulation frameworks. Excellent stakeholder engagement and communication skills are essential for translating complex analytics into actionable business decisions. Familiarity with warehouse management systems (WMS), transportation management systems (TMS), and enterprise resource planning (ERP) systems will be advantageous. A mindset oriented toward solving ambiguous business problems end-to-end, combined with applied industrial engineering knowledge, is critical for success in this role.

Responsibilities

Design and develop comprehensive end-to-end data science solutions to address complex warehouse challenges, including labor planning, productivity analytics, wave batching, flow optimization, predictive maintenance, and control tower analytics. Develop and implement models that directly influence operational decisions, providing optimization logic and actionable recommendations. Collaborate closely with distribution center operators and subject matter experts to embed models into existing workflows, ensuring practical applicability and adoption. Apply core industrial engineering principles such as capacity planning, constraint analysis, workload balancing, queueing theory, and system flow modeling to optimize warehouse operations. Translate operational issues into mathematical models, simulations, and heuristics to identify optimal solutions. Extend analytics and solutions across various supply chain domains, including transportation, inventory, and customer service. Build, test, and deploy machine learning models, optimization engines, simulation frameworks, and data pipelines, owning the full lifecycle from development to monitoring. Translate complex analytics into clear operational decisions, driving measurable business outcomes and continuous improvement.

Benefits

McKesson offers a competitive total rewards package, including base salary, annual bonuses, and long-term incentives. Compensation is determined based on experience, skills, performance, and market conditions, ensuring alignment with industry standards and regulatory compliance. Employees benefit from comprehensive health plans, retirement savings options, paid time off, and opportunities for professional development. We are committed to fostering a supportive and inclusive work environment that promotes growth, innovation, and well-being for all employees. Additional benefits may include wellness programs, employee assistance programs, and flexible work arrangements tailored to support work-life balance.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to all 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. We are dedicated to creating an inclusive environment where everyone can thrive. If you require a reasonable accommodation during the application process, please contact us via the designated channels. For more information on our EEO policies, please visit our website. We are committed to fostering diversity and inclusion in all aspects of our business.