Manager, Data Science (Toronto)

Manager, Data Science (12‑Month Contract)

What You’ll Be Doing

• Lead data science prototypes supporting commercial strategy.
• Own applied data science problem framing: translate business goals into clear hypotheses, success metrics, and an analytical approach (forecasting, propensity, segmentation, optimization, NLP).
• Design and deliver data science prototypes aligned to commercial strategy, ensuring measurable business impact (cost savings, revenue growth, improved guest experience).
• Define and execute measurement and experimentation plans (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 trade‑offs, and coordinating dependencies with partners.
• 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.
• 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 ML models and their supporting data pipelines, embed automated model validation and QA, stage deployments for collaborative QA, monitor health and performance of production ML products, and promote coding guidelines.
• Develop and support generative AI solutions: optimize Gen‑AI workflows using LLMs, RAG, vector search, and AI orchestration frameworks; partner with engineering and platform teams for deployment; design evaluation suites and QA approaches, including responsible AI guardrails; contribute to reusable AI components, prompt engineering standards, and best practices.
• Follow technical direction set by the Enterprise Data Architect and Data Engineering team.
• Manage data science projects from conception to delivery through an organized intake process, track tasks using Jira and Monday.com, and adhere to governance standards.
• Learn and implement Four Seasons technical standards, procedures, and processes including FS DevOps, and verify work completion for compliance.

What You Bring

• 5+ years of experience in data science, data wrangling, management, and/or ML engineering.
• University degree in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or substantial quantitative coursework.
• Strong foundation in statistics and ML (supervised/unsupervised), feature engineering, and model evaluation; ability to explain trade‑offs and drive business decisions.
• Experience in NLP and/or GenAI techniques for applied use cases (classification, entity extraction, semantic search) with an evaluation‑first mindset.
• Advanced SQL and Python skills; strong data wrangling for large, messy datasets.
• Preferred cloud and tooling experience: Azure and Databricks ecosystem, scalable experimentation, and modeling workflows.
• Familiarity with CI/CD, version control (Azure DevOps/GitHub), reproducible pipelines, and monitoring principles for models and data products.
• Experience using notebooks and BI tools (Power BI, Tableau, PowerPoint) to communicate clear stories to technical and non‑technical stakeholders.
• Experience designing and interpreting experiments (A/B tests, holdouts, quasi‑experiments) and defining success metrics for product/business outcomes.

Who You Are

• Proactive in understanding business needs and using data to drive strategy and tactics.
• Translate data science outputs into clear, actionable recommendations that support leadership decision‑making.
• Tailor messaging to audiences, focusing on clarity, brevity, and relevance.
• Collaborate effectively with cross‑functional colleagues, external consultants, and agencies.
• Work well under pressure and manage multiple tasks under time constraints.
• Well organized, detail‑oriented, and able to multi‑task in an iterative environment.
• Creative, performance‑driven problem solver with ownership and discipline; passionate about leveraging digital, AI, ML, and data to transform business.
• Solid foundation in math and statistics.
• Ability to sift through large data sets, identify patterns, and derive meaningful insights.
• Experience working cross‑functionally in a matrix organization.
• Project management skills: organize processes, manage expectations, and deliver on key deadlines.

Salary Range

$85,000 - $125,000

Working Model & Location

This role will be a hybrid working model, requiring approximately three days per week at the temporary 20 York Mills Road, Toronto, Ontario location, with travel to the Four Seasons Corporate Office at 1165 Leslie Street, Toronto, Ontario as needed.

EEO & Accommodation Statement

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.