Job
In this key role, you will develop marketing mix models, optimize customer lifetime value models, and conduct complex Monte Carlo simulations for decision support.
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Your role in the team
- Responsibility for the development, enhancement, and professional management of marketing mix models to enable informed assessment of marketing ROI and media effectiveness in complex, international marketing setups.
- Development and continuous optimization of Customer Lifetime Value models as a central decision-making basis for retention, CRM, and growth strategies.
- Design of robust forecasting models based on modern Bayesian frameworks to support strategic marketing, budgeting, and investment decisions.
- Scaling marketing analytics through targeted use of machine learning, automation, and production-ready data pipelines.
- Conducting complex Monte Carlo simulations for scenario planning and informed decision support under uncertainty.
- Use of Geospatial Analytics to assess market, location, and retail performance from a marketing and growth perspective.
- Further development and professional responsibility for advanced methods such as Causal Inference, Incrementality, Attribution, or NLP with a clear focus on marketing effectiveness.
- Development of analytical models that transparently demonstrate how marketing measurably contributes to business growth – from media effectiveness to customer lifetime value.
- Close collaboration within a multidisciplinary team of Data Science, Strategy, and Automation to further develop data-driven marketing measurement and optimization.
- Collaboration with consulting and strategy teams to translate complex analysis results into clear, actionable business recommendations.
Our expectations of you
Education
- Successfully completed degree in a quantitative, analytical, or business-related field such as Data Science, Statistics, Mathematics, (Business) Informatics, or a comparable qualification.
Qualifications
- Deep understanding of marketing effectiveness, consumer behavior, and data-driven growth strategies.
- Proven expertise in marketing mix modeling, customer lifetime value models, and forecasting at a strategic level.
- Excellent knowledge of Python as well as routine use of relevant libraries and frameworks such as PyMC, NumPy, pandas, scikit-learn, Prophet, or TensorFlow.
- Familiarity with cloud environments such as GCP, AWS, or Azure, as well as with common visualization tools like Tableau, Power BI, or Looker.
- Ability to interpret complex statistical relationships in an understandable manner and make them usable for marketing, business, and management stakeholders.
- High degree of personal responsibility, strategic thinking, and enjoyment of interdisciplinary collaboration.
- Knowledge in the field of information security and information security awareness.
Experience
- Several years of professional experience as a (Senior) Data Scientist or Marketing Analyst with a strong focus on statistical modeling and marketing analytics, ideally from an agency, consulting, or dynamic environment.
- Experience in the production deployment of Machine Learning and automation to scale analytical workflows.
What we offer
- Through personal mentoring and digital onboarding sessions - we ensure your perfect start.
- Your development is important to us. Whether through our internal campus training program to expand your technical, methodological, or personal skills, voluntary language courses, or regular coaching sessions – we keep you up to date.
- With flexible working hours, mobile office, and job sharing models, you can adapt your profession to your life — and not the other way around.
- Anyone who works also needs to take a break – with us, you have plenty of opportunities through regular after-work and team events (also virtually, if necessary).
- Extensive sports program as well as mobility options through agency bikes and e-bikes/e-bike leasing.
- Our modern office in Munich's creative quarter is easily accessible for you thanks to its perfect location.
- As an internationally operating agency group, you have the opportunity to network and exchange ideas with colleagues from a wide range of disciplines from around the world.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Higher take-home pay
Topics you will work on
Job locations
About your employer
Since our founding in 2002, we have specialized in performance-oriented online, social and content campaigns. Based on this wealth of experience, we have further developed into a 360 ° planning media agency in 2018. With the view from the digital perspective on the classical media, we work out cross-media and data-based mediastrategies for our customers.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Advertising, Marketing, PR
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