Careers

Attribution logic, predictive LTV and causal inference on real Google Ads accounts with real budgets.

• Solid knowledge of causal inference and experimental design (A/B tests, incrementality testing)
• Experience with predictive LTV and propensity models on real transaction data
• Confident with SQL and Python (pandas, scikit-learn or similar)
• Understanding of attribution logic and media mix questions
• Solid foundations in statistics and probability: you build models and know their limits
• You run data science projects on your own, from gathering requirements with the marketing team to communicating results clearly
• Able to measure machine learning models against existing business approaches and prove the ROI after rollout
• Experience bringing models into production with data engineers and training teams on the tools
• Fluent German and English, further languages are welcome

Strategic and hands-on management of key accounts with six- to seven-figure budgets across Google Ads, Microsoft Advertising and every relevant channel.

• At least 5 years of experience in performance marketing (SEA), ideally in an agency environment
• Hands-on and strategic management of key accounts with six- to seven-figure budgets across Search, Shopping, PMax and YouTube
• Deep technical knowledge of Google Ads, Google Merchant Center, GA4 and Google Tag Manager, comfortable with scripts and technical implementation
• Attribution models, consent banner adjustments and competitor analyses are part of your daily work
• Able to resolve CPC, CPA and ROAS trade-offs with data and derive recommendations on your own
• You help set quality standards for campaign setups and reporting and contribute to potential analyses for new client projects
• Fluent German and English, further languages are welcome