Senior Data Scientist/Scientifique des Données Principal(e)

at  McKesson

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.
McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At McKesson Canada, we touch the lives of 12 million Canadians every day. We carry more than 35,000 products in 12 distribution centers and ultimately provide distribution to 6,300 retail pharmacies, 1,350 hospitals, long-term care centers, clinics and institutions all over Canada. But we’re so much more than a distribution company. We’ve automated 2,500 retail pharmacies and dispense over 100 million doses a year through our automation solutions. Manufacturers, healthcare providers and patients count on us for a full range of services that contribute to the quality and safety of care for us all.
At McKesson Canada, you’ll help us carry out our mission to improve lives and advance healthcare. Working here is your opportunity to shape an industry that’s vital to us all.

JOB SUMMARY

The Senior Data Scientist plays a lead role in fostering a data-driven culture. We are in search of a highly proficient and driven Sr. Data Scientist to join our BDSA team. In this role, you will be responsible for analyzing complex datasets, developing statistical models, and providing valuable insights to drive data-driven decision making. You will collaborate with cross-functional teams to identify business challenges, design experiments, and develop innovative solutions using advanced analytics techniques and machine learning algorithms. Additionally, you’ll mentor junior team members, ensuring delivery excellence.

SECTION B – POSITION REQUIREMENTS

• 7 + years of hands-on work experience developing and applying advanced analytics solutions in a corporate or consulting settings.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s or PhD is preferred.
• Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
• Demonstrated expertise in building and deploying AI/Machine Learning 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.
• Experience with big data technologies (e.g., Databricks, Hadoop, Spark) and cloud platforms (e.g., Azure, AWS) is a plus.
• Proficiency in SQL and experience with relational databases (Snowflake, Oracle), data visualization tools (Power BI, Tableau), and Excel modelling and VBA.
• Excellent problem-solving and analytical skills, with the ability to think critically and approach challenges from multiple angles.
• Effective communication and presentation skills, capable of conveying complex concepts to technical and non-technical audiences.
• Knowledge of pharmaceutical distribution industry is a strong asset.
• Bilingual (French & English).
• The incumbent of this position will provide daily support to internal and/or external clients outside Quebec and/or in the United States. Therefore, he/she must be proficient in spoken and written English. Please note that the number of positions requiring English language skills has been limited where possible.
• #LI-JT2
  At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.
  As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

• 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 audience, 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.
• Serve as the primary resource for McKesson Canada Business Data Science inquiries.