The role involves leading the design and implementation of analytical solutions to evaluate marketing campaign performance. The individual will develop and deploy various statistical models to measure business impact and effectiveness. Responsibilities include analyzing large datasets to extract insights and designing experiments to validate hypotheses. The position requires collaborating with cross-functional teams to translate complex findings into actionable recommendations. Additionally, the role focuses on ensuring best practices in data modeling and statistical analysis.

The role requires strong proficiency in Python and SQL for data analysis and modeling. Candidates must have proven experience in building time series, classification, and regression models, along with a solid understanding of causal inference and statistical analysis. Experience in designing and analyzing A/B testing experiments is necessary. Furthermore, the position requires excellent communication skills and an advanced level of English.