Measurement Science Manager II

Accountabilities:: Design, lead, and deliver advanced advertising measurement studies, including A/B testing, holdout experiments, and incrementality studies, to demonstrate the causal impact of advertising campaigns. Partner with leading consumer packaged goods (CPG) brands, senior clients, and agency partners to measure campaign effectiveness, optimize advertising strategies, and support increased media investments. Present analytical findings and measurement recommendations to senior stakeholders, translating complex statistical concepts into clear, actionable business insights. Educate clients and agency partners on measurement methodologies through presentations, training sessions, strategic discussions, and technical Q&A. Develop tailored measurement strategies based on client objectives, business challenges, and available data, identifying opportunities for additional services, commercial growth, and operational improvements. Analyze advertising performance and campaign effectiveness using advanced statistical techniques, ensuring the accuracy, reliability, and validity of measurement results. Build and maintain custom analytical solutions, dashboards, visualizations, and self-service tools to make insights more accessible to clients and internal teams. Leverage AI-powered tools and platforms, including Claude, Cursor, and internal AI solutions, to automate repetitive processes, improve analytical workflows, and scale measurement capabilities. Introduce innovative metrics, analytical frameworks, and visualizations to uncover insights beyond standard reporting and strengthen measurement quality. Collaborate with internal commercial, analytics, and cross-functional teams to improve measurement practices, accelerate delivery, and support strategic business decisions. Requirements: Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Finance, Economics, or Business. At least 6 years of professional experience in data analytics, measurement science, or consulting, with demonstrated expertise in statistical data analysis. Minimum 3 years of relevant experience in advertising effectiveness, media or marketing measurement, and experimentation. Advanced knowledge of experimental design and measurement methodologies, including A/B testing, holdout designs, and incrementality measurement. Strong SQL skills and proficiency in statistical programming languages such as Python or R, with the ability to develop, validate, and maintain custom analytical solutions. Advanced data visualization and storytelling capabilities, with experience using tools such as Tableau or Mode and developing dashboards and self-service reporting solutions. Proven ability to translate complex analytical findings into strategic recommendations that influence business decisions and deliver measurable commercial outcomes. Strong client-facing and presentation skills, with the ability to communicate effectively with both technical audiences and senior business executives. Excellent analytical thinking, problem-solving, and organizational skills, combined with curiosity, creativity, active listening, and the ability to work independently. Ability to balance technical depth with commercial awareness, adapting measurement approaches to different stakeholder needs and business objectives. Experience conducting and presenting advertising lift measurement studies directly to clients is highly desirable, particularly with the ability to provide analytical guidance to sales teams. Advanced knowledge of statistical methodologies such as Marketing Mix Modeling (MMM), Bayesian analysis, causal inference, and experimental validity techniques, including A/A testing and Sample Ratio Mismatch (SRM) detection, is an advantage. Comprehensive understanding of advertising auction mechanics, targeting algorithms, and attribution models is preferred. Experience using AI-driven tools and automated workflows to improve analytical efficiency and scale measurement processes is an additional advantage. Benefits: Competitive annual base salary ranging from CAD 140,000 to CAD 148,000, depending on the candidate's location, experience, and skills. New-hire equity grant, with eligibility for additional annual equity refresh grants. Comprehensive and market-competitive employee benefits package. Fully remote working arrangement within eligible Canadian provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Flexible working model that allows employees to choose where they work best, whether from home, an office, or another suitable location. Regular in-person team events and opportunities to build connections and strengthen collaboration. Opportunity to work on innovative advertising measurement solutions using advanced data, experimentation, and AI technologies. Exposure to leading consumer brands, senior industry stakeholders, and strategic agency partnerships. Opportunity to contribute to the evolution of digital advertising measurement within a dynamic and data-driven environment.