Senior Marketing Mix Modeling (MMM) Data Scientist
New
Remote from PLFull-TimeSenior
Salary165 - 185 PLN per hour
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Job Details
- Languages
- Very good English skills
- Experience
- 6+ years of experience in econometrics or causal inference
- Required Skills
- PythonNumpyPandasscikit-learn
Requirements
- Proven track record of deploying Google’s Meridian (or similar Bayesian frameworks like LightweightMMM) in a production environment
- Advanced proficiency in Python
- Proficiency with Pandas, NumPy, PyMC/ArviZ, Scikit-learn
- 6+ years of experience in econometrics or causal inference
- Deep understanding of time-series analysis and multivariate regression
- Solid grasp of the modern media landscape (programmatic, social, search, traditional broadcast attribution)
- Very good English skills
Responsibilities
- Design, develop, and refine end-to-end Marketing Mix Models using the Meridian framework to quantify the incremental impact of offline and online media channels
- Build and maintain scalable Python pipelines for data ingestion, feature engineering (addressing seasonality, price elasticity, and macro-trends), and automated model validation
- Utilize Bayesian methods to incorporate prior knowledge and reach deeper insights into diminishing returns (S-curves) and media ad-stock effects
- Translate technical model outputs (ROI, mCPA, and contribution charts) into executive-level narratives that guide CMOs and media planners in budget reallocation
- Partner with the broader Data Science team to calibrate MMM results using "Ground Truth" data from incrementality tests (Geo-experiments or Lift studies)
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