Senior Data Scientist

McKesson Corporation; Montreal (administrative region); On-site; CAD 90,000 - 120,000; Full time

Job summary

McKesson Corporation is seeking a Data Scientist to analyze complex datasets and develop predictive models in Montreal, Canada. The ideal candidate will possess over 10 years of experience in advanced analytics, a strong background in various data technologies, and excellent communication skills.

This position offers a competitive compensation package and opportunities for growth within a Fortune 10 company focused on innovative healthcare solutions.

Qualifications

• 10+ years of hands-on experience in advanced analytics solutions.
• Familiar with data privacy standards and methodologies.
• Experience with data technologies like Big Query and Databricks.

Responsibilities

• Analyze complex datasets for business insights.
• Develop predictive models to solve challenges.
• Communicate findings to stakeholders through presentations.

Skills

Data analysis

Cloud platforms

Machine learning

Statistical techniques

Communication skills

Education

Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or related field

Tools

Python

R

Power BI

Tableau

Hadoop

Job description

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.

Responsibilities

• Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision‑making.
• Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
• Collaborate with cross‑functional teams to understand business requirements and develop data‑driven solutions.
• Design and execute experiments to test hypotheses and validate models.
• Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
• Build and maintain scalable data pipelines and data processing systems.
• Communicate findings and recommendations to stakeholders, including non‑technical audiences, through visualizations, reports, and presentations.
• Stay updated on advancements in data science, machine learning, and analytics.
• Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
• Collaborate with the Enterprise Analytics team to integrate new practices and technologies.

Minimum Requirements

• Typically requires 10+ years of hands‑on work experience developing and applying advanced analytics solutions in a corporate environment.

Critical Skills

• Hands‑on experience building and delivering Enterprise Data Solutions.
• Extensive professional experience with Big Data systems, data pipelines and data processing.
• Familiarity with data privacy standards, methodologies, and best practices.
• Practical hands‑on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
• Hands‑on experience working on analytical platforms like SAS, R, Python, Azure ML.
• Expertise in Unix Shell scripting and dependency‑driven job schedulers.
• Expertise in data visualization tools such as Power BI, Tableau and Looker is a plus.
• Ability to understand API specs, identify relevant API calls, extract data and implement data pipelines & SQL‑friendly data structures.

Additional Skills

• Excellent communication and interpersonal skills, with the ability to engage and influence technical teams, business leaders, and external partners.
• Strategic thinker with a strong analytical mindset and problem‑solving abilities.
• Proven track record as a Data Scientist, delivering data‑driven solutions to complex business challenges.
• Demonstrated expertise in building and deploying AI/ML solutions at scale.
• Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit‑learn).
• Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
• Proficient in many of the following applied analytical techniques – clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
• Positive and flexible attitude to enable adjusting to different needs in an ever‑changing environment.
• Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus.
• Highly influential ability to educate stakeholders on the role of data and its purpose in the business.
• Teams up and collaborates for speed, agility, delivery excellence and innovation.
• Strong negotiation and decision‑making skills.

Education

• Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience.

McKesson will not be able to do sponsorship on this position.

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. 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 click here.