Jobs in Germany
Your mission
You actively shape your position, we want you to get involved and contribute ideas!
Exploratory Data Analysis & Insights
- Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS).
Machine Learning & Predictive Analytics
- Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection.
- Optimize data-driven strategies through AI/ML applications.
Data Engineering & Pipeline Development
- Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs.
A/B Testing & Experimentation
- Design and execute rigorous A/B tests to validate hypotheses and assess the impact of new features.
AI/ML Integration & Collaboration
- Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.
- Ensure smooth deployment and scalability of machine learning models.
Data-Driven Leadership & Best Practices
- Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company.
Your profile
Must-Haves
- 2–5 years of applying data-science methodologies end-to-end in production (not just prototyping)
- Built and maintained scalable data pipelines using Spark and Databricks for large-scale data ingestion and transformation
- Deployed at least one machine-learning model (Scikit-learn, PyTorch) into a production API or streaming pipeline
- Authored complex SQL for analytics and ETL on modern data warehouses
- Translated sophisticated mathematical and ML concepts into clear, actionable insights for both technical and non-technical stakeholders
- Demonstrated strong problem-solving skills and a collaborative, team-first mindset
Nice to Haves
- Familiarity with advanced experimentation techniques (causal inference, A/B testing, media mix modeling).
- Experience with deep learning and time series forecasting for business applications.
- Hands-on experience with ML monitoring tools (e.g., MLflow).
- Background in AdTech or marketing analytics.
Why us?
- Work-Life Balance: 30 days of paid vacation.
- Commuter Benefits: Public transportation tickets provided.
- Professional Development: Annual education budget of €1,500.
- Workation Opportunities: Combine work and vacation annually.
- Wellness: Access to over 7,000 gyms and spas in Germany through Wellpass.
- Catering: Monthly team lunches, daily fruits, vegetables, and a variety of beverages.
- Flexibility: Flexible working hours and hybrid work model.
- Corporate Benefits: Exclusive discounts for major brands and platforms.
- Diversity: Join an international team with diverse cultural backgrounds.
- Fun and Games: Socializing area for relaxing activities during the workday. Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday! :)
