Senior Data Scientist

Senior Data Scientist (m/f/d) — Relocation to Munich Mandatory

Location: Munich, Germany

Working model: Hybrid, 2 office days per week in Munich

Employment type: Permanent, full-time

Salary: €82,000 – €102,000 p.a. fixed

Language: English (min. C1), German is not required

About the company:

For an established and growing company in the tech environment, we are looking for a Senior Data Scientist (m/f/d).

The company works on data-driven digital products with high user impact and uses machine learning to improve concrete business decisions, especially in areas such as pricing, demand forecasting, ranking, recommendations and marketing optimisation.

This is not a pure reporting, dashboarding or analytics role. The focus is on classical machine learning, statistical modelling and structured/tabular data. GenAI and LLMs may be used as supporting tools, but they do not replace the core foundation of statistics, algorithms and robust machine learning.

The role is hands-on, analytical and business-oriented. We are looking for someone who does not only build models, but also understands open-ended problems, develops hypotheses, works closely with stakeholders and takes ownership from problem definition through to implementation and iteration.

Your responsibilities:

• Develop and apply machine learning and statistical models for business-critical use cases
• Work with large, complex and mostly structured/tabular datasets
• Analyse patterns, risks, opportunities and business-relevant relationships in data
• Translate open-ended business questions into clear analytical and modelling approaches
• Take ownership from problem framing through modelling, evaluation, implementation and iteration
• Apply classical ML methods such as regression, classification, tree-based models and gradient boosting
• Work on topics such as demand forecasting, dynamic pricing, ranking, recommendations, conversion prediction or marketing attribution
• Evaluate models properly using suitable metrics, validation methods and statistical reasoning
• Collaborate closely with Data Science, Product, Business, Analytics and Engineering teams
• Communicate findings clearly to both technical and non-technical stakeholders
• Contribute to improving how data and machine learning are used for decision-making across the business

Focus of the role: Classical machine learning, tabular data, business impact and end-to-end ownership — not pure reporting, dashboarding or GenAI prompting.

Your profile:

• At least 4 years of professional experience in Data Science, Machine Learning or a comparable analytical role
• Strong hands-on experience with classical machine learning methods and statistical modelling
• Very good Python skills and experience with common data science libraries
• Good SQL skills and confidence working with large datasets
• Experience with structured or tabular data in a product, business, marketplace, e-commerce, travel, mobility or similar environment
• Practical experience with models such as XGBoost, LightGBM, CatBoost, Random Forests or other tree-based methods
• Good understanding of model evaluation, feature engineering, overfitting, data leakage and suitable metrics
• Experience working on open-ended problems where requirements are not fully predefined
• Ability to explain concrete projects in depth, including problem statement, model choice, methodology, scale and business impact
• Strong business understanding and a pragmatic approach to choosing the right method for the problem
• High ownership mindset, proactive working style and motivation to drive topics independently
• Very good communication skills in English
• Willingness to relocate to Munich

Nice to have:

• Experience with demand forecasting, time series or revenue management
• Experience with dynamic pricing, price optimisation, elasticity modelling or yield management
• Experience with ranking, recommender systems, search relevance or conversion prediction
• Experience with causal inference, uplift modelling, experimentation or A/B testing
• Experience in marketplace, e-commerce, travel, mobility, hospitality or performance marketing environments
• Exposure to AWS, Airflow, dbt, Looker, Git or modern data/ML tooling
• Experience with production ML models, APIs, automated pipelines or models running in live business environments

What is offered:

• Permanent position in an established and growing tech company
• Hybrid working model with 2 office days per week in Munich
• International, English-speaking working environment

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• Relocation support for international candidates
• Visa support through external partners where required
• Work on real machine learning problems with direct business impact
• Strong Data Science team with high technical standards
• Cross-functional collaboration with Product, Business, Analytics and Engineering
• Opportunity to not only build models, but also take long-term ownership of them
• Part-time options possible from approx. 70%

Why this role is exciting:

This is not a classic Data Analyst or BI role. It is a real Data Science position focused on production-oriented machine learning and business-critical modelling.

You will work on open-ended business problems and have the opportunity to take topics from the first hypothesis through to practical implementation.

This role is especially interesting for Data Scientists who:

• Enjoy working with classical ML models and tabular data
• Want to solve real business problems rather than build models in isolation
• Combine technical depth with business understanding
• Like taking ownership from concept to implementation
• Want to create measurable impact in areas such as pricing, ranking, recommendations or marketing
• Are open to relocating to Munich and joining an international tech environment

Interested?

If you are excited about working on real machine learning problems with direct business impact and are open to relocating to Munich, we look forward to hearing from you.

Contact:

Patrick Hofmann

Consultant | Data & Cloud | Permanent Solutions

📧 [email protected]

📞 +49 170 6540025

🌐 www.zabelglobal.com