Data Scientist, Supply Chain & Commercial Analytics

Coca-Cola Canada Bottling Limited; Toronto; Hybrid; CAD 83,000 - 105,000; Full time

Benefits offered by this job

Benefits package

Paid vacation

Floater days

Job summary

Coca-Cola Canada Bottling Limited in Toronto is seeking a Data Scientist to join the Data Science and Advanced Analytics team. This role supports data-driven initiatives across commercial strategy, sales execution, and operations, translating analytical work into scalable solutions.

You will work on demand modeling, promotion and trade spend optimization, pricing elasticity, network and inventory planning, and scenario modeling, partnering with business units to improve decision making and

Qualifications

• Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering).
• 3+ years of experience in data science, advanced analytics, or applied ML roles.
• Experience with SQL and Python.
• Experience with statistical modeling and ML techniques (regression, trees, optimization).
• Familiarity with Databricks and Azure data ecosystem is a plus.

Responsibilities

• Contribute to analytics initiatives using ML techniques for demand forecasting, pricing, and product optimization.
• Support development of analytical models to understand demand drivers and elasticity.
• Help build tools and processes to improve trade spend and promotional performance.
• Enhance operational planning and execution with data-driven insights.
• Create clear visualizations and translate insights into actionable recommendations.

Skills

SQL

Python

Statistical Modeling

Machine Learning

Data Visualization

Education

Bachelor’s degree in quantitative field

Master’s degree asset

Tools

Databricks

Azure

Power BI

Tableau

Job description

Toronto, Ontario | Hybrid

Human Powered. Customer Centric. Future Ready.

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

• Work Location – Toronto
• 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.
• Salary – $82,800 - $105,000 annually.
• Initial Posting Close Date – September 25, 2026

11 Sept 2026

Toronto, Ontario | Hybrid

Human Powered. Customer Centric. Future Ready.

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

Role Details

• Work Location – Toronto
• 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.
• Salary – $82,800 - $105,000 annually.
• Initial Posting Close Date – September 25, 2026

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.

About This Opportunity

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.

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.

Qualifications

• 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.

#CBSAS

Why join Coke Canada Bottling?

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.

Here, You Can

• Influence meaningful people and business decisions.
• Develop your capabilities through experience, coaching and learning resources.
• Access a comprehensive benefits package supporting your physical, mental and financial well-being.
• 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.

Bring your perspective

Coke Canada Bottling has been recognized as one of Canada’s Best Employers for Diversity. We are committed to fostering a diverse, equitable and inclusive workplace where everyone feels they belong.

Research shows that women-identifying candidates and members of other marginalized communities may hesitate to apply unless they meet every qualification. If this opportunity excites you, we encourage you to apply—even if your experience does not match every item listed. Your perspective could be exactly what we need. Unless otherwise specified, this posting is for an existing vacancy.

Our hiring process is human-driven and does not use AI tools to make screening, assessment or selection decisions. If you require accommodation or support during the recruitment process, please call 1-844-383-2653 or email [e-mail].

Background clearance

All offers of employment with Coke Canada Bottling are conditional upon successful background clearance completed through our contracted third-party provider. Requirements vary by position and may include criminal, employment and education verification, as well as a driver’s abstract where applicable.

Please speak with the Talent Acquisition team if you have questions once you are contacted for further consideration.