Senior Data Scientist – Supply Chain Operations

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 Youll 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