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About the Role
We are recruiting for a Data Scientist to join our Data Science and Advanced Analytics team. This role supports high impact, data driven initiatives across the organization by addressing complex business challenges through advanced analytics and machine learning. 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. This is an opportunity to leverage your experience to solve meaningful business challenges and turn complex data into practical, scalable insights.
Responsibilities
- Contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization.
- Support the development and improvement of analytical models to understand demand drivers and price elasticity, ensuring insights are practical, reliable, and business-relevant.
- 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 clear visualizations and collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.
Requirements
- 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.
- Proactive mindset with the ability to work through ambiguity, take initiative, and suggest new analytical approaches or opportunities to improve business outcomes.
- Background clearance may be required, potentially including criminal, employment, and education verification, as well as a driver’s abstract.
Skills
- SQL
- Python
- Statistical modeling
- Machine learning techniques
- Regression-based models
- Tree-based models
- Optimization approaches
- Demand forecasting
- Elasticity modeling
- Promotional analysis
- Scenario modeling
- Databricks
- Azure data ecosystem
- Power BI
- Tableau
- Data visualization
Location
- Toronto, Ontario
Work Type
- Hybrid
Experience Level
- 3+ years of experience
Education Level
- Bachelor’s degree or college diploma in a quantitative or technical field
- Master’s degree is an asset
Salary/Compensations
- $82,800 - $105,000 annually
Benefits
- Comprehensive benefits package supporting physical, mental and financial well-being
- Retirement and savings programs
- Paid vacation
- Floater days
About the Company
- Coke Canada Bottling is Canada’s Local Bottler, independently, Canadian and family-owned.
- We make, distribute, merchandise and sell beloved beverages.
- Our more than 6,000 employees work coast-to-coast across over 50 sales and distribution centres and five manufacturing facilities.
- We are committed to fostering a diverse, equitable and inclusive workplace where everyone feels they belong.
Equal Opportunity
- Coke Canada Bottling has been recognized as one of Canada’s Best Employers for Diversity.
- We encourage candidates to apply even if their experience does not match every qualification.