Overview
We are seeking a Marketing Scientist or Senior Data Scientist with a focus on Marketing Mix Modelling (MMM) to join a dynamic analytics team dedicated to supporting consumer and DTC brands. This role involves enhancing MMM solutions to provide insights into marketing investments, optimize spending, and enable data-driven decision making, all while working in a flexible remote or hybrid environment.
Responsibilities
- Build and refine Marketing Mix Models (MMM) to assess marketing effectiveness.
- Analyze marketing spend, sales, and customer data to derive actionable insights.
- Develop statistical models using Python and related libraries.
- Utilize techniques such as regression modeling, time series analysis, and adstock modeling.
- Support scenario planning, budget optimization, and ROI analysis.
- Translate complex modeling outputs into clear commercial recommendations.
Requirements
- Proven experience with Marketing Mix Models (MMM) in a commercial context.
- Strong proficiency in Python, particularly with libraries such as Pandas, NumPy, Statsmodels, and Scikit-learn.
- Experience in statistical modeling, econometrics, or Bayesian methodologies.
- Solid understanding of marketing measurement and media effectiveness.
- Ability to work independently and communicate insights to non-technical stakeholders.
- Familiarity with MMM frameworks such as Meta Robyn, Google Meridian, or LightweightMMM is a plus.
- Experience in e-commerce, retail, or consumer-focused brands is desirable.
- Background in a consultancy or client-facing analytics environment is advantageous.