Description

You will lead Media Mix Modeling (MMM) efforts within the global marketing organization, shaping media investment strategy and optimizing marketing budgets.

This role is on-site.

Responsibilities

• Develop, validate, and maintain Media Mix Models to measure the effectiveness of digital, TV, radio, OOH, and offline media channels.
• Conduct advanced statistical and econometric analysis to quantify marketing effectiveness, forecast future impacts, and recommend optimal budget allocations.
• Partner with marketing, sales, and finance teams to translate model insights into actionable recommendations for campaign planning.
• Collaborate with engineering to build scalable, automated pipelines for data ingestion, model training, and reporting.
• Present findings to senior stakeholders, communicating complex analytical concepts clearly to drive business impact.

Required Skills

• 8+ years of experience in marketing analytics, econometrics, or data science with a strong focus on marketing measurement.
• Strong expertise in econometrics and regression modeling techniques.
• Hands-on experience with Meta’s Robyn or Google’s Meridian packages.
• Proficiency in Python and SQL for data analysis and modeling.
• 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.
• Ability to present findings to both technical and non-technical audiences.

Preferred Skills

• Experience with Bayesian modeling, causal inference, and advanced statistical techniques.
• Prior experience in B2B marketing analytics.

Key Skills

Education

Any Graduate