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
🏢 Euro Staffs
📍 Toronto