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 Title

Senior Data Scientist – Supply Chain Operations (Warehousing Focus)

Summary

McKesson 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 model

What You’ll Do

• Design and build end-to-end data science solutions to solve complex warehouse problems:

  • Labor planning and scheduling optimization
  • Productivity and performance analytics
  • Wave batching and release optimization
  • Flow optimization and congestion reduction
  • Predictive maintenance for warehouse automation
  • Exception detection and control tower analytics

• Develop models that directly influence operational decisions, including optimization logic and recommendations

• Partner with distribution center operators and SMEs to embed models into workflows

• Apply industrial engineering concepts:

  • Capacity planning and constraint analysis
  • Workload balancing and throughput optimization
  • Queueing and system flow modeling
  • Trade-offs between service, cost, and efficiency

• Translate operational problems into mathematical models, simulations, and heuristics

• Extend solutions across supply chain domains (transportation, inventory, customer, quality)

• Build and productionize ML models, optimization engines, simulation frameworks, and pipelines

• Own full model lifecycle: development, testing, deployment, monitoring

• Translate analytics into operational decisions and measurable business outcomes

What You Bring

• Strong hands-on experience building and deploying data science and machine learning solutions
• Deep understanding of warehouse operations and supply chain systems
• Applied industrial engineering mindset with real-world operations experience
• Ability to solve ambiguous business problems end-to-end
• Strong stakeholder engagement and communication skills
• Expertise in Python and SQL
• Experience with platforms like Databricks or Snowflake
• Experience building production-grade pipelines

Minimum Requirements

• Degree or equivalent and typically requires 7+ years of relevant experience

Preferable Skills & Experience

• Simulation, 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 systems

• Exposure to AI agents or automation

• Supply chain systems knowledge (WMS, LMS, TMS, ERP)

• Experience integrating data across systems

• Strong ability to translate analytics into clear decisions

• Proven ability to influence stakeholders and drive adoption

• Executive-level communication skills

• Direct experience in warehouse/DC problem solving:

  • Labor planning
  • Flow optimization (slotting, batching, wave release)
  • Productivity management
  • Automation or equipment analytics
  • Exception / control tower analytics

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

$99,100 - $132,100

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

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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.

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