Senior Data Scientist Job Toronto area,Ontario Canada,IT/Tech

About Four Seasons:

Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.

At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.

About the location:

Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 130 hotels and resorts and 50 private residences in 47 countries around the world and growing. Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide.

At Four Seasons, we are powered by people and our culture enables everything we do.

Senior Data Scientist(12 Month Contract)

The Senior Data Scientist is an applied data science leader within the Data & Analytics function and part of the Technology Innovation & Data (TID) department, supporting Commercial and enterprise-wide initiatives.

This role bridges business challenges and technical execution—owning problem framing, analytical approach, modeling/experimentation/measurement, and stakeholder alignment to deliver clear business outcomes (e.g., revenue growth, cost savings, improved guest experience).

Reporting to the Director, Data Science & Analytics, this role will work cross-functionally with Data Engineering, Data Governance, and Data Delivery, the Senior Data Scientist will apply Four Seasons’ technical standards to operationalize AI solutions from prototype to production.

What You’ll Be Doing:

Lead Data Science in Designing Prototypes Supporting Commercial Strategy

Own applied data science problem framing: translate business goals into clear hypotheses, success metrics, and an analytical approach (e.g., forecasting, propensity, segmentation, optimization, NLP).

Lead the design and delivery of data science prototypes aligned to commercial strategy, ensuring measurable business impact (e.g., cost savings, revenue growth, improved guest experience).

Define and execute measurement and experimentation plans (e.g., A/B tests, holdouts, quasi-experiments) to quantify incremental impact and guide product/business decisions.

Plan and manage the data science / ML project pipeline by developing roadmaps, aligning business priorities, communicating tradeoffs, and coordinating dependencies with partners (e.g., Data Engineering, Data Governance, Product/Digital/Business teams).

Identify, collect, and validate datasets; define data quality checks and partner with data stewards/engineering to ensure data is fit for purpose.

Design, develop, and evaluate models and prototypes; select the best approach balancing accuracy, interpretability, scalability, and business constraints.

Present insights and recommendations to non-technical and leadership audiences, driving alignment, decision-making, and adoption.

Raise the bar on team quality: conduct peer code reviews, mentor team members, and document approaches (Confluence) to establish reusable patterns and best practices.

As applicable, manage third parties during the prototyping phase to ensure schedules, processes, and outcomes are monitored and achieved.

Support Machine Learning Deployments

Develop, test, optimize, and productionize machine learning models, including their supporting data pipelines for training and predictions.

Develop and embed automated processes for…