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! :)