4+ years of relevant MMM experience (Practical 2+ years experience in long-term marketing mix modelling)
Build long-term Marketing Mix Models (MMM) using advanced tools tailored to specific business challenges.
Identifies the right set of models suitable for long-term MMM modeling and develops the right code/package to execute them.
Select appropriate modeling techniques and develop custom code/packages to implement them effectively.
Lead data preparation, exploratory analysis, and iterative modeling processes specific to long-term MMM.
Deliver actionable insights on how brand media impacts long-term brand equity, sales, and margins.
Evaluate the scientific rigor and business relevance of complex long-term Marketing Mix Models (MMM).
Possess a deep understanding of existing MMM frameworks and demonstrate the ability to leverage short-term MMM models into building long-term MMM models.
Engage with Shell stakeholders and line managers to ensure timely and quality project delivery.
Solid proficiency in Python, SQL, Git, Databricks,



and understanding of object-oriented programming principles.

Requirements
Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation, etc.
Proven experience in building MMM models to capture the long-term impact of Marketing on Sales and Brand Equity is a must.
Strong programming skills in Python and SQL.
Good to have:
Understanding of data engineering concepts, including data pipelines, ETL processes, object-oriented programming, and general software engineering principles to build scalable and reusable analytical products.
Understands the life cycle of a generic data science project (from problem statement to model deployment).
Exposure to causal inference is a plus.
Hands-on experience with at least 2 MMM techniques below:
Mixed-effects models (random and fixed effects)
Hierarchical linear models
Bayesian modelling (e.g., Bayesian MMM)
Structural equation modeling (SEM)
R

📌 Data Scientist (India)
🏢 Prescience Decision Solutions
📍 India