Analyst, 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.

Analyst, Data Science

We have an exciting opportunity for an Analyst, Data Science to join our Data Analytics team supporting Commercial Guest Loyalty and Personalization initiatives. In this role, you will collaborate with cross-functional teams to support strategic Guest 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 Analyst, Data Science will follow Four Seasons' technical standards, collaborate with the Data Engineering team, and build production-ready machine learning models from successful prototypes.

What You’ll Be Doing:

Design Data Science Prototypes Supporting Strategic Priorities

• Design and develop data science POCs to support Guest Loyalty, Customer Experience, CRM, Clienteling, and Digital teams.
• Apply NLP techniques to process unstructured data (e.g., chat) and generate insights to improve guest experience and operational efficiency.
• Feature engineering and model tuning to optimize model performance for sentiment, classification, propensity, segmentation, and other guest specific use cases.
• Design and implement production model enhancements to address the changing needs of the business.
• Select and validate datasets in partnership with domain experts to ensure data is fit for use before modeling.
• Wrangle data, perform analysis, and create visualizations to present insights to non-technical stakeholders.
• Collaborate with Governance leaders and ensure alignment with enterprise practices.
• Follow Four Seasons’ delivery methodologies and documentation standards.
• Conduct peer code reviews and collaborate with third parties as needed during prototyping.

Machine Learning Deployments

• Develop, test, optimize, and productionize ML models and supporting data pipelines.
• Automate processes for predictive model validation and QA.
• Manage staged deployments, QA, and version control for controlled releases.
• Monitor production ML performance and compare competing models.
• Follow Four Seasons’ deployment framework and CI/CD to enhance capabilities.
• Define and promote coding guidelines to improve code quality.

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

• Follows technical direction set by Enterprise Data Architect and Data Engineering team.
• Test and verify the completion of work done by Data Engineering to ensure compliance with the original intent of prototype and long-term requirements.

What You Bring:

• University degree in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or substantial coursework in relevant quantitative field.
• 1-3 years of working experience in Machine Learning, Data Mining and Statistics.
• Mathematics & Statistics: Strong foundation in math and statistics.
• Data Analysis: Proficient in analyzing large datasets to identify patterns and draw actionable insights.
• Project Management: Proficient in organizing and managing processes and expectations, and delivering on key deadlines.
• Cloud Computing: Experience with cloud platforms, particularly MS Azure (Databricks, Synapse, Data Factory, Data Lake, Blob Storage).
• Programming: Proficient in SQL, Python, PySpark, SparkSQL, Scala, and R 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 ML scripts into Data Factory and ML pipelines.
• ML Optimization: Skilled in optimizing ML model training scripts to reduce runtime and resource usage.
• Automation: Experience in automating predictive model validation, deployment, and implementation processes.
• 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.

Key Skills/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.
• 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.

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.