Coke Canada Bottling seeks a Data Scientist for its advanced analytics team, located in Toronto with a hybrid work model. Leverage your analytics expertise to solve essential business challenges with data-driven insights. In this full time hybrid role, you will contribute to impactful cross-functional projects involving demand modeling, pricing analysis, and optimization using advanced analytics and machine learning.

Collaborate with commercial strategies and operations to improve decision-making through actionable data insights. Your work will drive commercial effectiveness and operational planning. Key Responsibilities:
Utilize statistical techniques for demand forecasting and pricing optimization
Develop tools that enhance trade spend and promotional performance




Create visualizations to communicate insights to stakeholders
Collaborate with teams to ensure analytical solutions are scalable
Support operational planning with data-driven recommendations Requirements:
Bachelor’s degree in a quantitative or technical field
3+ years in data science or machine learning roles
Proficient in SQL and Python for large datasets
Experience with statistical modeling and optimization techniques
Solid skills in data visualization tools, especially Power BI Bring your analytics skills to Coke Canada Bottling in a role that shapes impactful business decisions.

📌 Data Scientist In Toronto Hybrid (Canada)
🏢 Euro Staffs
📍 Canada