Build and maintain Marketing Mix Models to quantify marketing ROI
Develop precise Customer Lifetime Value (CLV) models to support retention and CRM strategies
Design robust forecasting models based on modern Bayesian frameworks
Use machine learning and automation to scale analyses and accelerate insights
Perform Monte Carlo simulations for scenario planning and decision support
Use geospatial analytics to assess market, location, and retail performance
Further develop methods such as causal inference, incrementality, attribution, and NLP
Develop modern analytical models that demonstrate how marketing measurably contributes to company growth — from media effectiveness to customer lifetime value
Work in a multidisciplinary team of Data Science, Strategy, and Automation to advance data-driven marketing measurement and optimization
Collaborate with consulting and strategy teams to translate analysis results into clear, actionable business recommendations

A successfully completed degree in a quantitative, analytical, or business-related field — e.g., Data Science, Statistics, Mathematics, (Business) Informatics, or a comparable qualification
Several years of professional experience as a Data Scientist or Marketing Analyst — ideally with a strong focus on statistical modeling and marketing analytics, preferably from an agency or other dynamic environment
Deep understanding of marketing effectiveness, consumer behavior, and growth strategies
Proven expertise in Marketing Mix Modeling, Customer Lifetime Value models, and forecasting
Excellent proficiency in Python and relevant libraries such as PyMC, NumPy, pandas, scikit-learn, Prophet, or TensorFlow
Experience applying machine learning and automation to accelerate analytical workflows
Familiarity with cloud environments such as GCP, AWS, or Azure, and common visualization tools like Tableau, Power BI, or Looker
Ability to communicate complex statistical results in a clear and strategic manner
Curiosity, initiative, and a collaborative working style
Knowledge of information security and information security awareness

Onboarding: Through personal mentoring and digital onboarding sessions — we ensure your perfect start
Training & Development: Your development matters. Whether through our internal campus training program to expand your technical, methodological, or personal skills, optional language courses, or regular coaching — we keep you up to date
Flexibility: Flexible working hours, mobile office, and job-sharing models let you adapt your work to your life — not the other way around
Fun: People who work also need breaks — we offer regular after-work and team events (virtual options available when needed)
Sports: Extensive sports program and mobility options via company bicycles and e-bike leasing
Accessibility: Our modern office in Munich’s creative district is conveniently located and easy to reach
International Environment: As an internationally operating agency group, you have the opportunity to network and collaborate with colleagues from a wide range of disciplines around the world

Data Scientist

Key skills