Data Scientist

Four Seasons Hotels and Resorts; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A leading luxury hotel management company is seeking a Data Scientist to join their Toronto Corporate Office. The role involves developing AI/ML models to enhance guest experiences and operational efficiency. The ideal candidate will have a strong background in data science, excellent communication skills, and experience in a collaborative environment. This position offers a hybrid working model, requiring three days a week in the office.

Qualifications

• 2-5 years of experience in AI/ML, Advanced Analytics, and Statistics.
• Strong foundation in math and statistics.

Responsibilities

• Design and develop AI/ML models to support strategic business activations.
• Optimize model performance for various business use cases.
• Collaborate with cross-functional teams to implement data-driven solutions.

Skills

Communication

Problem Solving

Self-Motivation

Mathematics & Statistics

Data Science

Education

University degree in Computer Science

University degree in Statistics

University degree in Data Science

University degree in Applied Mathematics

University degree in Engineering

Tools

Python

SQL

R

TensorFlow

PyTorch

Power BI

Tableau

Job description

time left to apply End Date: June 8, 2025 (20 days left to apply)

job requisition id REQ10345637

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.

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 Data Scientist 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. In this role, you will collaborate with cross-functional teams to support strategic priorities by building and deploying AI/ML solutions. This is a unique opportunity to apply data science in an agile environment to address practical business use cases. The Data Scientist will follow Four Seasons' technical standards, collaborate with the Data Hub teams, and build production-ready machine learning models from successful prototypes.

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

What You’ll Be Doing

Design Data Science Prototypes Supporting Strategic Priorities

• Develop AI / ML Model Prototypes Supporting Strategic Priorities: Design and develop data science models to support strategic activations across Guest Loyalty, Customer Experience, CRM, Clienteling, Digital, and Brand.

• Feature Engineering and Model Tuning: Optimize model performance for classification, propensity, segmentation, sentiment, LLMs, forecasting tailored to the specific business use case.

• Natural Language Processing (NLP): Apply NLP techniques to process unstructured data (e.g., chat, call transcripts) and generate insights to improve guest experience and operational efficiency.

• Production Model Enhancements: Design and implement production model enhancements to address the changing needs of the business.

• Data Selection and Validation: Select and validate datasets in partnership with domain experts to ensure data is fit for use before modeling.

• Data Wrangling and Visualization: Wrangle data, perform analysis, and create visualizations to present insights to non-technical stakeholders.

• Collaboration: Collaborate with Governance leaders and ensure alignment with enterprise practices.

• Methodologies and Standards: Follow delivery methodologies and documentation standards.

• Peer Code Reviews: Conduct peer code reviews and collaborate with third parties as needed during prototyping.

Machine Learning Deployments

• Machine Learning Deployments: Develop, test, optimize, and productionize ML models and supporting data pipelines.

• Process Automation: Automate processes for predictive model validation and QA.

• Deployment Management: Manage staged deployments, QA, and version control for controlled releases.

• Performance Monitoring: Monitor production ML performance and compare competing models.

• CI/CD Framework: Follow deployment framework and CI/CD to enhance capabilities.

• Coding Guidelines: Define and promote coding guidelines to improve code quality

Partner with IT in Operationalizing Data Science prototypes and following Four Seasons Standards

• Technical Direction: Follow technical guidance from Enterprise Data Architect and Data Engineering team.

• UAT: Validate Data Engineering work to ensure it meets prototype objectives and long-term requirements.

Who You Are

• Business Understanding: Understands business needs and translates data into actionable plans to drive impact.

• Communication: Strong communicator with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Cross-Functional Collaboration: Experience working effectively in a matrix organization.

• Time Management: Excels under pressure, managing multiple tasks and deadlines.

• Organization: Highly organized, detail-oriented, and able to multitask in a fast-paced environment.

• Problem Solving: Creative thinker with a strong ability to design and deliver practical solutions to complex problems.

• Self-Motivation: A self-driven, disciplined individual with a passion for AI / ML, and data in transforming businesses.

• Mathematics & Statistics: Strong foundation in math and statistics.

• Data Science: Proficient in analyzing large complex datasets to develop actionable insights and predictive models that drive strategic business decisions.

• Project Management: Proficient in organizing and managing processes and expectations and delivering on key deadlines.

What You Bring

• 2-5 years of working experience in Artificial Intelligence / Machine Learning, Advanced Analytics and Statistics.

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

Technical Competencies

• Cloud Computing: Experience with cloud platforms, particularly MS Azure (Databricks, Synapse, Data Factory, Data Lake, Blob Storage).

• Programming: Proficient Python, PySpark, SQL, R and tools (e.g., TensorFlow, PyTorch) for solution delivery.

• Data Wrangling: Expertise in structuring, cleansing, merging, enriching, validating, and publishing data for discovery and use case development.

• Integration: Knowledge of Databricks / Azure orchestration tools and experience automating scripts with MLflow, Data Factory, and ML pipelines.

• ML Optimization: Skilled in optimizing ML model training scripts to minimize computation runtime and resource usage.

• Automation and Deployments: Experience in automation and deployments of predictive model training and inference.

• CI/CD: Familiarity with CI/CD principles and software engineering best practices in Azure, including version control (Azure DevOps, GitHub).

• NLP Techniques: Skilled in deploying and optimizing NLP models for large-scale text analysis, including sentiment analysis, named entity recognition, and text classification.

• Data Visualization: Experience with visualization tools like Power BI and Tableau.

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 theOntario Human Rights Code and theAccessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.