Responsibilities for this role include: Develop and validate causal models to evaluate the impact of marketing campaigns and initiatives, leveraging advanced statistical methods for causal inference. Design and implement randomized controlled trials (RCTs) to rigorously test the effectiveness of marketing strategies, ensuring robust experimental design and proper execution. Perform complex statistical analyses to interpret data from experiments and observational studies, using statistical software and programming languages. Collaborate with marketing teams to provide data-driven recommendations that enhance campaign performance and ROI; present findings and insights to stakeholders in a clear and actionable manner. Work closely with cross-functional teams-including marketing, product, and engineering-to identify key business questions and develop analytical solutions, fostering a culture of data-informed decision-making. Stay current with industry trends in data science, causal inference, and marketing analytics, applying new methodologies and technologies to improve measurement accuracy and efficiency. Maintain comprehensive documentation of models, experiments, and analytical processes; prepare reports and presentations that convey complex analyses to non-technical audiences.
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