Senior Data Scientist

Senior Data Scientist

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