Data Scientist III, Tim Hortons (12 month contract)

Overview

We are seeking an experienced data scientist for the Advanced Analytics team at Restaurant Brands International Inc. This role focuses on building, training, deploying, and monitoring machine learning models across multiple business functions.

What You’ll Do

Drive continuous improvement of business performance using advanced analytical techniques such as multivariate analysis, key driver analysis, and exploratory data analysis.

Translate analytical insights into actionable recommendations for business and product teams.

Monitor machine learning model performance daily and identify performance issues.

Conduct A/B testing and analyze results to support model improvements.

Partner with Machine Learning Engineers to maintain and refine models in production.

Who You Are

Own and drive data science initiatives in a fast‑paced, evolving quick‑service restaurant environment.

Translate complex and ambiguous business requirements into clear analytical approaches and insights.

Collaborate closely with Machine Learning Engineers and Product teams for model deployment, monitoring, and maintenance.

Focus on outcomes by analyzing, visualizing, and interpreting data to inform decisions.

Operate effectively in an Agile environment, maintaining transparency, accountability, and clear communication with both technical and non‑technical stakeholders.

Continuously learn and adapt in ambiguous problem spaces, contributing with a collaborative and solution‑oriented mindset.

What You Bring

Bachelor’s degree or equivalent experience in a quantitative or technical field.

3+ years of experience as a Data Scientist or in a similar analytical role with production of machine learning models.

Strong Python skills and experience with data platforms such as PySpark and/or Databricks.

Hands‑on experience building and supporting machine learning models using common ML frameworks.

Solid understanding of core data science methods, including regression, classification, clustering, and time series analysis.

Strong communication skills with the ability to explain technical concepts to non‑technical stakeholders.

Strong SQL skills for analyzing and transforming large datasets.

Experience monitoring model performance and supporting model lifecycle management; MLOps or LLMOps experience is a plus.

Familiarity with cloud platforms, preferably AWS.

Acceptance of being part of the model on‑call rotation to monitor, troubleshoot, and maintain production models.

Compensation & Benefits

Base salary range of 100,000 – 140,000 CAD.

Eligible for the company’s annual discretionary bonus plan.

Potential for equity grants under the long‑term incentive plan.

Comprehensive benefits focusing on physical, mental, and financial wellness, including paid parental leave, telemedicine, and mental wellness support.

EEO Statement

Restaurant Brands International and all of its affiliated companies are equal‑opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. Accommodation is available for applicants with disabilities upon request.