Senior Data Scientist

Proudly independent, we are a Canadian, family-owned business. Coke Canada Bottling makes, distributes, merchandises, and sells the most-loved beverages Canadians enjoy. With over 6,000 diverse employees coast-to-coast, we operate in every province through 50+ sales and distribution centres, and five manufacturing facilities.

Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by bringing sustainable value to our employees, customers, consumers, and communities.

Advancing a high-performing, collaborative and inclusive culture is at the core of our vision to be the World’s Greatest Bottler, Built by the Best People, and we’re looking for exceptional talent to help get us there.

For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.

Role Details

• Work Location – Toronto
• Hybrid Environment – This position currently offers a hybrid work schedule. Subject to change. The in-office requirement is a minimum of three days per week (Tuesday, Wednesday, Thursday), with the flexibility to work remotely on the remaining days.
• Salary – The base salary for the position is $108,000- $150,000. The starting base salary is based on market location and may vary depending on job-related knowledge, role complexity, experience and internal equity.
• Initial Posting Close Date – June 26, 2026

About This Opportunity

The Senior Data Scientist, Advanced Analytics role sits within the Advanced Analytics function under the Technology team and reports to the Senior Manager, Data Science. The Advanced Analytics team partners across the enterprise to solve complex, high-impact business challenges using data, analytics, and machine learning. This work spans areas such as commercial strategy, sales execution, and supply chain, including demand modeling, promotion and trade spend optimization, pricing and elasticity analysis, network and inventory optimization, and scenario modeling.

In this role, you will contribute to cross-functional initiatives, working closely with business stakeholders to apply advanced analytics solutions. You will support the development of scalable, production-ready models and help embed data-driven decision-making across planning, operations, and execution.

Responsibilities

• Lead initiatives that apply analytics and advanced techniques to deliver actionable solutions for the business.
• Enhance and maintain analytical models focused on understanding demand drivers and price elasticity, ensuring they deliver actionable insights for the business
• Manage the end-to-end deployment pipeline for machine learning models, establishing robust monitoring for data drift, model drift, and performance degradation.
• Transition prototype models into reliable, reproducible, and scalable production pipelines
• Apply statistical and machine learning techniques to solve complex problems in demand forecasting, product optimization, and business decision-making.
• Create engaging data visualizations to communicate insights clearly to both technical and non-technical stakeholders, enhancing decision-making and strategy development.
• Collaborate across teams including product managers, engineers, and business leaders, to turn data insights into practical solutions and recommendations that drive business impact.

Qualifications

• Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); Master’s degree is an asset.
• 5+ years of experience in data science, advanced analytics, or applied machine learning roles, with demonstrated business impact.
• 1–3 years of experience in Machine Learning Operations (MLOps).
• Strong experience working with large, complex datasets, with advanced proficiency in SQL and Python.
• Deep expertise in statistical modeling and machine learning techniques, such as regression models and tree-based models (e.g., Random Forest, XGBoost), as well as optimization approaches.
• Experience designing and delivering end-to-end analytics solutions, from exploration through deployment.
• Experience deploying machine learning models into production, including monitoring for data and model drift.
• Familiarity with Databricks and the Azure data ecosystem is an asset.
• Strong understanding of demand forecasting, elasticity modeling, promotional analysis, and scenario modeling.
• Proficiency in data visualization and storytelling using tools such as Power BI (preferred) or Tableau.
• Ability to communicate complex analytical concepts clearly to both technical and non-technical audiences.

#CBSAS
#LI-KS1

• Join a local, family-owned business that’s part of a globally recognized brand, where you can develop your capabilities, competencies, and career.
• Coke Canada has a culture of learning, and we offer several channels to support your development, including on-the-job training and a library of free courses for just-in-time learning.
• We are committed to offering a comprehensive benefits package designed to help our employees achieve their best physical, mental, financial, and overall health and well-being. This includes a competitive compensation package, access to retirement and saving programs, family and employee assistance program, paid vacation and floater days.
• We have close, local connections with the communities in which we operate across Canada. We’re determined to make a positive difference in our communities; this includes opportunities for employee volunteerism.
• We’re building our business responsibly and our mission is to work Toward a Better Future Together. We have a plan that outlines how we are reducing, reusing, recycling, decreasing our carbon footprint, and using water responsibly. For more information visit cokecanada.com/sustainability/

Coke Canada has been recognized as one of Canada’s Best Employers for Diversity, and we’re committed to fostering a diverse, equitable and inclusive workplace. Together we are creating a workplace culture that values diversity, enables inclusivity and ensures everyone feels like they belong. We are aiming to ensure our diverse workforce is reflective of the communities in which we operate. Research shows that women-identifying and other marginalized individuals often hesitate to apply unless they meet 100% of the listed qualifications. If this role excites you, even if you don’t check every box, we encourage you to apply. Your unique experience and perspective could be what we’re looking for. Unless otherwise specified, this job post is for an existing vacancy.

Our hiring process is human-driven and does not involve AI tools for screening, assessment, or selection. For individuals requiring accommodations or support throughout the recruitment process please call 1-844-383-2653 or email HR@cokecanada.com.

Important – please note

All offers of employment at Coke Canada Bottling are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some, or all, of the following: criminal clearance, employment verification, education verification and driver's abstract review. Please advise the Talent Acquisition team if you have any questions or concerns once you are contacted for further consideration.