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Job Title


Data Science Lead - Marketing Mix Modelling


Company : MBN Solutions


Location : Toronto, Ontario


Created : 2025-05-03


Job Type : Full Time


Job Description

Role: Senior Analyst – Advanced Marketing Analytics (MMM Focus)Location Options: Toronto, Montreal, or VancouverCompensation: $90K–$105K + Comprehensive Benefits Our hiring partner, a globally recognized consultancy specializing in marketing performance optimization, is looking to appoint a seasoned analytics professional to lead the development of complex measurement models that enhance client outcomes across multiple promotional platforms.In this position, you’ll be a key contributor to analytical initiatives, working alongside cross-functional teams to design data-led models that guide critical business decisions. Your expertise in quantitative modelling will be essential for evaluating campaign effectiveness across channels like broadcast, digital, and out-of-home.This is a unique opportunity to engage with prominent clients, apply advanced statistical techniques, and shape the evolving landscape of data-driven marketing.Main Areas of Focus:Develop and refine statistical models to assess campaign efficiency and return on investment across various advertising formats.Execute experiments and testing strategies (e.g., regional lift studies, A/B setups) to enhance attribution accuracy.Utilize and customize open-source tools (such as those from Google or Meta) for MMM analysis when appropriate.Construct and streamline data workflows and integration pipelines using tools like SQL, Python, dbt, or Airflow.Translate technical outputs into clear, actionable recommendations using dashboards, visuals, and briefings tailored to diverse audiences.Preferred Background:At least five years of hands-on experience designing and implementing MMM solutions.Advanced capability in tools like Python, R, or SQL for analytical modeling and data automation.Solid grounding in statistical approaches like regression, Bayesian inference, time-series analysis, and causal measurement.Familiarity with public cloud infrastructure (e.g., AWS, GCP, Azure) for handling large data environments.Skilled in data visualization platforms (e.g., Tableau, Power BI, or relevant Python libraries).Understanding of the media landscape and how different platforms contribute to campaign success.Strong critical thinking and communication skills, with the ability to distill technical information into practical insights.Experience leading initiatives and managing timelines and expectations across stakeholders.Would you like this version formatted for a job board or internal use?