Senior Data Scientist (Marketing Mix Models)
Core
Design, develop, and maintain Marketing Mix Models (MMM) to measure the impact of marketing activities across online and offline channels for global brands.
Role type
Senior Data Scientist (Marketing Mix Modeling)
Builds
Statistical and machine learning models for marketing effectiveness and media spend allocation
Domain
Marketing analytics, econometrics, media investment optimization
Deliverable
production ML models
Required skills
Marketing Mix Modeling (MMM), econometrics, regression analysis, time series analysis, statistical hypothesis testing, Python, SQL, data visualization, adstock modeling, saturation curves, incrementality measurement, ROI/ROAS estimation
Preferred skills
Bayesian and frequentist approaches, Google Meridian, Meta Robyn, LightweightMMM, AWS/Azure/GCP, MLOps tools, Git/GitHub, AI-assisted development tools
Technologies
Python, SQL, pandas, NumPy, scikit-learn, statsmodels, SciPy, Jupyter Notebooks, Google Meridian, Meta Robyn, LightweightMMM, AWS, Azure, GCP
Responsibilities
Design and maintain MMMs to quantify channel effectiveness; analyze complex datasets from media, sales, pricing, and macroeconomic sources; build statistical and ML models to optimize media spend; develop and validate MMM components like adstock and baseline sales decomposition; partner with stakeholders to define success metrics and translate ambiguity into solutions; translate model outputs into clear business narratives; build scalable data science pipelines for model monitoring and deployment; stay updated on emerging MMM methods and contribute to the Data & AI platform.
Seniority
Senior, hands-on IC