Data Scientist
Core
Build and maintain econometric and marketing analytics models to quantify the impact of promotions, media, pricing, and competition on sales performance for the Belgian market.
Role type
Senior IC data scientist (marketing analytics & econometrics)
Builds
Production ML models for sales response, promotional lift, and media impact
Domain
FMCG/Retail marketing analytics
Deliverable
production ML models
Required skills
Applied statistics, econometrics, time-series analysis, causal inference, feature engineering, model validation, Python (pandas, numpy, scikit-learn, statsmodels), SQL
Preferred skills
Bayesian modelling, hierarchical models, experiment design, uplift analysis, scenario planning, Jupyter, CI/testing practices
Technologies
Python, SQL, pandas, numpy, scikit-learn, statsmodels
Responsibilities
Develop and maintain promotional lift, media impact, and sales response models using weekly and monthly commercial data. Build robust modelling datasets from on-prem data warehouse sources and external reference files. Apply regression, time-series, and causal/experiment-based approaches to estimate effect sizes and seasonality. Translate modelling results into clear recommendations for marketing, sales, and finance teams. Collaborate with commercial stakeholders to define KPIs and scenario analysis.
Seniority
Senior, hands-on IC
