Lead advanced statistical modelling in Toronto, using Python and quantitative methods to shape retail, customer, and loyalty decisions.
As Manager, Statistical Modelling & Advanced Analytics, you will guide complex modelling work across the enterprise. You will apply forecasting, causal inference, experimentation, and predictive modelling to key business problems. The position combines technical leadership, stakeholder influence, and team development.
Key Responsibilities
Design advanced statistical and quantitative models using business dataApply forecasting, experimentation, segmentation, and optimization methodsPartner with leaders to improve decisions and customer outcomesEstablish model validation, monitoring, and measurement standardsCoach analysts and data scientists while guiding technical qualityRequirements:
Graduate degree in a quantitative fieldSignificant statistical modelling or advanced analytics experienceStrong Python coding experienceExperience using SQL, Spark, or similar toolsExperience leading projects and influencing senior stakeholdersBring statistical modelling, Python, and analytical leadership to decisions spanning retail, customer, and loyalty priorities.
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