Senior Data Scientist (Retail Media)

Location: Munich, Germany

Company

Europe’s leading e-pharmacy, building digital health and retail media products for customers and advertisers.

What you will do

• Develop data science and machine learning solutions for the retail media product.
• Work end to end on initiatives from problem definition and experimentation through production deployment, monitoring, and continuous improvement.
• Partner with Product Managers, Engineers, and domain experts to translate business challenges into data-driven solutions.
• Design, evaluate, and improve machine learning models and experiments, balancing performance, scalability, maintainability, and business impact.
• Develop retail media measurement and optimization approaches, including attribution, ROAS measurement, incrementality testing, causal inference, uplift modelling, and experimental design.

Requirements

• Solid experience in applied data science and machine learning, including deploying models in production.
• Strong foundation in Python, SQL, statistical modelling, and large-scale data processing.
• Hands-on experience with marketing or advertising measurement, including attribution, ROAS, causal inference, incrementality testing, uplift modelling, matched-market approaches, and experimental design.
• Ability to take ownership of ambiguous problems and create structure in an evolving product area.
• Experience with Databricks, Spark, Azure, MLOps, experimentation and analytics frameworks, Git, and CI/CD.

Culture & Benefits

• Comprehensive onboarding through welcome days.
• Urban Sports Club membership package.
• Individual work-from-home arrangements where the role does not require office presence, including up to 20 days per year anywhere in the EU.
• Training and development opportunities through internal and external programs.
• Employee discounts of 10% on over-the-counter, beauty, and personal care products and 20% on nu3 products.