Customer Centric. Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs. In-office expectations are subject to change as business requirements evolve.

Customer

Centric. Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs. In-office expectations are subject to change as business requirements evolve. The starting base salary offered is based on market location and may vary depending on job-related knowledge, role complexity, skills, experience, and internal equity. We are recruiting for a Data Scientist to join our Data Science and Advanced Analytics team.

This Advanced

Analytics role is part of the broader Technology function and plays a key role in supporting high impact, data driven initiatives across the organization. The team partners with stakeholders in commercial strategy, sales execution, and operations to address complex business challenges through advanced analytics and machine learning. As a Data Scientist, you will contribute to cross functional projects involving demand modeling, promotion and trade spend optimization, pricing and elasticity analysis, network and inventory optimization, and scenario modeling.

You will work closely with business partners to translate exploratory analytical work into scalable, production ready solutions that enhance planning, strengthen decision making, and improve execution across the organization. This is an exciting opportunity to leverage your experience in data science, advanced analytics,



or applied machine learning to help solve meaningful business challenges and turn complex data into practical, scalable insights. Contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization.

Assist in building tools and analytical processes that improve trade spend effectiveness and promotional performance, enabling smarter commercial and sales decisions. Support analytics initiatives that enhance operational planning and execution, applying data-driven insights as the function expands into operations-focused areas. Create transparent visualizations and collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.

Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset. ~3+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics. ~ Strong experience working with large, complex datasets and proficiency in SQL and Python. ~ Experience applying statistical modeling and machine learning techniques,



such as regression-based models, tree-based models and optimization approaches. ~ Foundational understanding of demand forecasting, elasticity modeling, promotional analysis, or scenario modeling. ~ Familiarity with analytics development within Databricks and the Azure data ecosystem is considered an asset. ~ Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau. ~ Ability to communicate analytical concepts clearly to both technical and non-technical audiences. ~ Coke Canada Bottling is Canada’s Local Bottler. We’re Made Local. Proudly independent, Canadian and family-owned, we make, distribute, merchandise and sell some of the most-loved beverages Canadians enjoy.

Our more than 6,000 employees work coast-to-coast across over 50 sales and distribution centres and five manufacturing facilities. Develop your capabilities through experience, coaching and learning resources. Participate in retirement and savings programs, paid vacation and floater days.

Give back through employee volunteer opportunities in the communities where we live and work. Help advance our vision of becoming the World’s Greatest Bottler, Built by the Best People.

Coke Canada

Bottling has been recognized as one of Canada’s Best Employers for Diversity. Research shows that women-identifying candidates and members of other marginalized communities may hesitate to apply unless they meet every qualification. Our hiring process is human-driven and does not use AI tools to make screening, assessment or selection decisions.

📌 Data Scientist, Supply Chain & Commercial Analytics (Toronto)
🏢 Coca-Cola Canada Bottling
📍 Toronto