Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop complex marketing mix models and CLV models, leverage machine learning for analysis, and support decision-making through forecasting and Monte Carlo simulations.
Job Technologies
Your role in the team
- Development and maintenance of marketing mix models to quantify marketing ROI.
- Development of precise CLV models to support retention and CRM strategies.
- Design robust forecasting models based on modern Bayesian frameworks.
- Deployment of machine learning and automation to scale analyses and accelerate insights.
- Conducting Monte Carlo simulations for scenario planning and decision support.
- Utilization of Geospatial Analytics for assessing market, location, and retail performance.
- Further development of methods such as Causal Inference, Incrementality, Attribution, or NLP.
- Development of modern analytical models that demonstrate how marketing contributes measurably to business growth - from media effectiveness to customer lifetime value.
- Work in 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 analysis results into clear, actionable business recommendations.
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Our expectations of you
Education
- A successfully completed degree in a quantitative, analytical, or business-related field - e.g., Data Science, Statistics, Mathematics, (Business) Informatics, or a comparable qualification.
Qualifications
- Deep understanding of marketing effectiveness, consumer behavior, and growth strategies.
- Proven expertise in Marketing Mix Modelling, Customer Lifetime Value models, and forecasting.
- Excellent knowledge of Python and relevant libraries such as PyMC, NumPy, pandas, scikit-learn, Prophet, or TensorFlow.
- Familiarity with cloud environments such as GCP, AWS, or Azure, as well as common visualization tools like Tableau, Power BI, or Looker.
- Ability to understand and strategically interpret complex statistical results.
- Curiosity, initiative, and a collaborative working style.
- Knowledge in the field of information security and information security awareness.
Experience
- 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 dynamic environment.
- Experience in deploying Machine Learning and automation to accelerate 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 bicycles and e-bikes/e-bike leasing.
- Our modern office in Munich's creative district 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
Data Scientist
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
