Senior Data Scientist (Market Mix Modelling)
Core
Build, calibrate, and validate Market Mix Modelling (MMM) frameworks to quantify media channel impact, measure ROI, and derive optimal budget allocations for enterprise clients.
Role type
Senior Data Scientist (Market Mix Modelling)
Builds
Production MMM models and optimization engines for media budget planning
Domain
Marketing analytics, econometrics, media effectiveness
Deliverable
production ML models
Required skills
Bayesian MMM, frequentist econometrics, causal inference, time-series modeling, linear/non-linear regression, optimization techniques, Python/R, SQL, cloud data environments (AWS/GCP/Azure)
Preferred skills
Media agency or consulting background, experience with Nielsen/Kantar/Facebook Lift data, machine learning integration (gradient boosting), storytelling for C-level stakeholders
Technologies
PyMC, Stan, scikit-learn, Spark, Databricks, BigQuery
Responsibilities
Build and validate MMM models using historical media and business data; Design end-to-end data pipelines for ingestion, transformation, and QC; Translate complex model outputs into clear business insights and recommendations; Monitor model performance and recalibrate based on new data; Collaborate with data engineers, product teams, and business analysts; Present findings to senior stakeholders on channel shifts and budget allocations
Seniority
Senior, hands-on IC
