Sr. Data Scientist

Current Need:

Location: hybrid in Mississauga, ON.

The Senior Data Scientist is responsible for driving the full lifecycle of advanced analytics and machine learning solutions—from problem framing and hypothesis design to production deployment and continuous monitoring—delivering measurable business outcomes for McKesson’s businesses. This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, and pioneers innovative analytical approaches that improve operational efficiency and market competitiveness.

The Sr Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP where appropriate. In addition, the role works closely with product, engineering, and business teams, champions McKesson’s enterprise model development standards, and upholds the company’s ILEAD leadership principles.

Key Responsibilities

• Identify opportunities for leveraging company data to drive innovative and scalable machine learning solutions that address complex business challenges. Develop and implement strategies that enhance operational efficiency, automate decision-making, improve customer outcomes, and optimize resource allocation. Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, recommendation systems, anomaly detection, and NLP/LLM.

• Develop custom machine learning models and algorithms tailored to business needs. Apply these models to large datasets to generate actionable insights and support strategic decision-making

• Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards

• Build and maintain scalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms to optimize performance and cost

• Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy

• Ensure model governance, documentation, and performance benchmarking. Maintain compliance with Responsible AI and data privacy standards

• Build and maintain scalable data systems and infrastructure that empower our business teams to make better decisions

Minimum Job Qualifications (Knowledge, Skills, & Abilities):

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

Business Experience

• 7+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead.

• Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).

• Proven track record working in cross‑functional product/engineering environments.

Specialized Knowledge/Skills

• Bachelors in math, statistics, engineering, or another STEM field or equivalent experience.

• Supervised/unsupervised learning, time‑series, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrieval‑augmented workflows preferred.

• Expert in Python and SQL; proficiency with PySpark; experience with Azure ML, MLflow, model registries, monitoring/telemetry (e.g., Evidently) and CI/CD.

• Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and on‑call patterns for ML services.

• Feature engineering, working knowledge of healthcare/commercial data sets.

• Demonstrated adherence to enterprise cybersecurity standards and secure development lifecycle for data/ML.

• Executive storytelling; ability to translate technical results into decisions and outcomes.

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

Our Base Pay Range for this position

$89,700 - $149,500

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.

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