Job Description

Salary: $99,100 - 132,100 per year Requirements:

• We typically look for a degree or equivalent, plus 7+ years of relevant experience.
• We need strong hands-on experience building and deploying data science and machine learning solutions.
• We look for deep knowledge of warehouse operations and supply chain systems.
• We value an applied industrial engineering mindset with real-world operations experience.
• We need the ability to solve ambiguous business problems end to end.
• We expect strong stakeholder engagement and communication skills.
• We require expertise in Python and SQL.
• We prefer experience with platforms such as Databricks or Snowflake.
• We value experience building production-grade pipelines.

• We design and deliver end-to-end data science solutions for complex warehouse challenges.
• We optimize labor planning, scheduling, wave batching, release decisions, flow, congestion, predictive maintenance, and exception detection.
• We develop models that directly shape operational decisions through optimization logic and recommendations.
• We partner with distribution center operators and subject matter experts to embed models into day-to-day workflows.
• We apply industrial engineering methods such as capacity planning, constraint analysis, workload balancing, throughput optimization, queueing, and flow modeling.
• We translate operational issues into mathematical models, simulations, and heuristics.
• We extend solutions across transportation, inventory, customer, and quality domains.
• We build and productionize machine learning models, optimization engines, simulation frameworks, and data pipelines.
• We own the full model lifecycle, including development, testing, deployment, and monitoring.
• We convert analytics into operational actions and measurable business results.

• Databricks
• Flow
• Machine Learning
• Python
• SQL
• Snowflake
• AI
• ERP

More:

We are McKesson, an impact-driven Fortune 10 healthcare company focused on making quality care more accessible and affordable through insights, products, and services. We are modernizing our Supply Chain Operations with a multi-year agenda that includes control towers, digital twins, and agent-enabled decisioning. This Senior Data Scientist role is highly hands-on and centered on warehouse and distribution center problem-solving, with a flex and connect model requiring onsite work in Mississauga twice per week. We offer a competitive Total Rewards package, including base pay of $99,100 to $132,100, and we are committed to an inclusive, equal opportunity workplace.

last updated 37 week of 2026

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