Manager, Data Science

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 120 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.

The Manager, Data Science plays a pivotal role within our Data Science capability, part of the Data & Analytics function in the Technology Innovation & Data (TID) department, supporting Commercial and enterprise-wide initiatives.

This role bridges business challenges and strategic opportunities, working closely with business and digital teams to craft innovative and practical solutions. The Manager, Data Science will design and implement machine learning and predictive prototypes that deliver significant business impact in support of strategic priorities.

In collaboration with the Data Engineering team, the Manager, Data Science will adopts and apply Four Seasons’ technical standards to develop and deploy production-ready machine learning solutions, ensuring successful prototype transitions to operational capabilities.

This role is based in Four Seasons Hotels and Resorts, Toronto Corporate Office, reporting to the Director, Data Science and Analytics. This role involves interactions with primarily internal stakeholders at various levels.

What You’ll Be Doing

Lead Data Science in Designing Prototypes Supporting Our Technology Strategy:

• Lead the design and delivery of data science prototypes that align with our technology strategies, ensuring measurable business impact (e.g., cost savings, revenue growth).

• Plan and manage the machine learning project pipeline by developing roadmaps, aligning business priorities, and coordinating with technical teams such as Data Engineering.

• Identify, collect, and validate data sets, ensuring quality through cleansing, exploration, and profiling in partnership with data stewards.

• Design, develop, and evaluate data science models, including prototypes and production enhancements, selecting the best approaches for business needs.

• Present insights and recommendations to non-technical and leadership audiences, driving alignment and support for data science initiatives.

• Conduct peer code reviews, mentor team members, and document ML processes (Confluence) to establish standardized approaches and best practices.

• As applicable, manage third parties during 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 predictive model validation and QA.

• Stage deployments to enable collaborative QA and controlled releases, monitor and version control changes.

• Monitor health and performance of production ML products and relative performance of competing models.

• Promote, contribute, and define coding guidelines to raise the bar for code quality

Partnerships and Following Four Seasons Standards:

• Follows technical direction set by Enterprise Data Architect and Data Engineering team.

• Manage data science projects from conception to delivery through the organized intake process, track tasks and progress using Jira and Monday.com, and adhere to governance standards and successful delivery methodologies.

• Learn and implement Four Seasons technical standards, procedures and processes including FS DevOps.

• Test and verify the completion of work done by Data Engineering to ensure compliance with the original intent of prototype and long-term requirements.

Who You Are

• Strong knowledge and experience in cloud computing platforms. MS Azure preferred (Microsoft Synapse, Azure Data factory, Azure Data Lake, Databricks, Azure Blob Storage)

• Provide data wrangling and pipeline automation to ML and analytics team using available languages, tools and services.

• Strong language capabilities with SQL, Python, PySpark, SparkSQL, Scala and R to support

• Advanced data wrangling skills applied to Discovery, Structuring, Cleansing, Merging, Enriching, Validating and Publishing data sources as preparation for team experimentation

• Knowledge of Azure orchestration tool sets and ability to integrate and automate Azure ML scripts into Data Factory and ML pipelines. Solid experience with developing pipelines, software or analyzing large datasets

• Proven track record in optimizing ML model training and application scripts, dramatically reducing runtime and resource consumption.

• Experience developing and embedding automated processes for predictive model validation, deployment, and implementation.

• Working experience with CI/CD principles and/or software engineering best practices in an Azure environment with version control in Azure DevOps or GitHub

• Experience with Data Visualization tools (Jupyter Notebook, Power BI, Tableau etc)

• Familiarity with Docker and Azure Container Services

What You Bring

• 5+ years’ experience working in the hospitality industry and 3+ years’ of working experience in data science, data wrangling, management, and/or ML engineering

• University degree in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or substantial coursework in relevant quantitative field

This role will be a Hybrid working model, which will require 3 days per week in the Four Seasons Corporate Office located at 1165 Leslie Street, Toronto, Ontario #LI-Hybrid 

Four Seasons is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.