Data Science Manager (MMM/Econometrician)

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Requirements:

• 6+ years of experience in marketing analytics, econometrics, or data science with a strong focus on marketing measurement.
• Strong expertise in econometrics and regression modelling techniques with hands-on experience of Meta’s Robyn or Google’s Meridian packages.
• Proficiency in Python and SQL for data analysis and modelling.
• Proven track record of influencing marketing strategies through data-driven insights.
• Solid understanding of digital and traditional media channels and their role in marketing effectiveness.
• Strong communication and storytelling skills to translate analytical findings into business impact.
• Demonstrated ability to present findings to both technical and non-technical audiences, with experience leading key technical projects.

Responsibilities:

• Develop, validate, and maintain Media Mix Models (MMM) to measure the effectiveness of various marketing channels, including digital, TV, radio, OOH, and offline media.
• Conduct advanced statistical and econometric analysis to quantify marketing effectiveness, forecast the impact of future marketing activities and recommend optimal budget allocations.
• Partner with marketing, sales strategy and finance teams to translate model insights into actionable recommendations for campaign planning and budget allocation whilst ensuring insights align with broader business objectives.
• Work with engineering teams to build scalable and automated pipelines for data ingestion, model training, and reporting as well as ensuring the availability of clean, structured, and reliable marketing data.
• Explore and implement advanced modelling techniques such as Bayesian MMM, hierarchical modelling, and causal inference.
• Present findings and insights to senior stakeholders, communicating complex concepts in a clear and actionable way.
• Stay up to date with industry trends, emerging MMM methodologies, and data science best practices.