Associate Manager Marketing Mix Modeling (MMM)

We are looking for a Data Scientist with strong analytical foundations and hands-on experience in marketing analytics, especially Marketing Mix Modeling (MMM), attribution, forecasting, optimization and business experimentation.

This role sits at the intersection of data science, econometrics, AI-enabled analytics, and business strategy. You will work with marketing, sales, retail, and consumer datasets to help brands optimize media investments, improve commercial performance, and drive measurable business outcomes.

The ideal candidate combines statistical rigor with modern AI tooling, understands how marketing ecosystems are evolving, and can translate complex analyses into business-ready recommendations for senior stakeholders.

Please note that hands-on Marketing Mix Modeling (MMM) experience is a mandatory requirement for this role. Profiles without practical MMM experience will not be considered.

• Build and enhance Marketing Mix Models (MMM) to measure media effectiveness, ROI, and budget optimization across channels.
• Develop advanced analytics models for attribution, segmentation, forecasting, pricing, and customer lifecycle management.
• Leverage AI/LLM tools to automate analytics, reporting, insight generation, and scalable modeling frameworks.
• Translate analytical findings into business recommendations and collaborate with cross-functional stakeholders.

Required Qualifications

• Bachelors/Masters degree in a quantitative field.
• 2–5 years of experience in marketing analytics, econometrics, commercial analytics, or data science.
• Experience with MMMs, marketing effectiveness studies, and statistical modeling.

Technical Skills

• Strong knowledge of regression, forecasting, optimization, causal inference, and experimentation.
• Proficiency in Python/R and SQL.
• Experience with analytics libraries (scikit-learn, statsmodels, PyMC, TensorFlow/PyTorch).
• Familiarity with AWS, GCP, or Azure, and BI tools such as Power BI, Tableau, or Looker.
• Exposure to AI-assisted analytics, LLM workflows, and automation tools.