Manager, Data Science

• Lead Data Science in Designing Prototypes Supporting Commercial Strategy
• Support Machine Learning Deployments
• Develop and Support Generative AI Solutions
• Partnerships and Following Four Seasons Standards

• 5+ 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
• Applied modeling and analytics: strong foundation in statistics and ML (supervised/unsupervised), feature engineering, and model evaluation
• ability to explain tradeoffs and drive business decisions
• Experience in NLP and/or GenAI techniques for applied use cases (e.g., classification, entity extraction, semantic search) with an evaluation-first mindset
• Data proficiency: advanced SQL and Python
• strong data wrangling skills (profiling, cleansing, merging, validation) for large, messy datasets
• Cloud & tooling (preferred): Azure and Databricks ecosystem (e.g., Databricks, Data Factory, Data Lake/Blob, Azure Function App, Azure AI Foundry), with ability to run scalable experimentation and modeling workflows
• Production readiness (in partnership with Engineering): familiarity with CI/CD, version control (Azure DevOps/GitHub), reproducible pipelines, and monitoring principles for models and data products
• Visualization & communication: experience using notebooks and BI tools (e.g., Power BI, Tableau, PowerPoint) to tell clear stories to technical and non-technical stakeholders
• Experimentation and measurement: experience designing and interpreting experiments (A/B tests, holdouts, quasi-experiments) and defining success metrics for product/business outcomes
• Proactive to understand business needs and how data will be used to drive strategic decisions and tactical action plans
• Translates data science outputs to provide clear, actionable recommendations that support leadership decision-making
• Tailors messaging to the audience, focusing on clarity, brevity, and relevance
• Collaborate effectively with cross-functional colleagues, external consultants, and agencies
• Works well under pressure and can manage multiple tasks under time constraints
• Well organized, detail-oriented, able to multi-task in a highly iterative environment
• Creative, performance-driven problem solver with a strong sense of ownership and discipline
• passionate about leveraging digital, AI, ML, and data to drive business transformation
• Solid foundation in Math and Statistics
• Ability to sift through large data sets, identify patterns and know how to use that data to come to meaningful and actionable conclusions
• Work cross-functionally in a matrix organization
• Project Management: Organize and manage processes and expectations, and deliver according to key deadlines

Cloud & tooling (preferred): Azure and Databricks ecosystem (e.g., Databricks, Data Factory, Data Lake/Blob, Azure Function App, Azure AI Foundry), with ability to run scalable experimentation and modeling workflows