Data Scientist (Medior) - Marketing Mix & Media Impact

Triglav Digital; Brussel Hoofdstad; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Triglav Digital in Belgium is seeking a Data Scientist to build and maintain models that quantify the impact of promotions, media, pricing and competitive activity on sales and market performance.

You will own end-to-end modelling workflows—from data extraction and feature engineering to model selection and embedding reproducible pipelines—working with marketing, sales and finance to drive commercial decisions.

Qualifications

• Strong background in statistics, econometrics or marketing mix modelling.
• Experience building sales, promotions, pricing or media response models.
• Proficiency in Python for analysis and modelling with common libraries.
• Strong SQL skills for large data warehouse work.
• Experience with time-series and panel data analyses.

Responsibilities

• Develop and maintain promotional lift, media impact, and sales response models.
• Quantify incremental sales impact of promotions, media investment, pricing, and competitor activity.
• Build modelling datasets from warehouse sources and external references.
• Apply regression, time-series, and causal/experiment-based methods to estimate effects.
• Work in reproducible pipelines using Python, SQL, and version control.
• Translate results into clear recommendations for marketing, sales and finance.
• Collaborate with stakeholders to define KPIs and scenario analyses.

Skills

Applied statistics

Econometrics

Marketing mix modelling

Python for analysis

SQL

Communication skills

Education

Master’s degree in Data Science / Statistics / Economics / Quantitative Marketing / Mathematics

Tools

Pandas

NumPy

scikit-learn

Statsmodels

Jupyter

CI/testing practices

Job description

Triglav Digital in Belgium is seeking a Data Scientist to build and maintain models that quantify the impact of promotions, media, pricing and competitive activity on sales and market performance.

You will own end-to-end modelling workflows—from data extraction and feature engineering to model selection and embedding reproducible pipelines—working with marketing, sales and finance to drive commercial decisions.