Senior Data Scientist – Supply Chain Operations

Senior Data Scientist – Supply Chain Operations

Mississauga, Canada Job ID JR0147940 Category Data Scientist, Information Technology Post Date Jun. 18, 2026

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

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, (opens in new window)

Our Base Pay Range for this position

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

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

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com (opens in new window).

Join us at McKesson!