Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this key role, you will develop marketing mix models, optimize customer lifetime value models, and conduct complex Monte Carlo simulations for decision support.
Job Technologies
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.
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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.
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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.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
Serviceplan Group
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.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR
Senior Marketing Data Scientist
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
