🛠 Tech Stack

💼 About This Role

You'll drive user behavior analysis and predictive modeling to optimize LTV for a fast-growing ad-tech company. You'll design and analyze causal A/B tests and develop advanced user segmentation models to directly influence product and marketing strategies. Stand out by shaping growth at Europe's #3 fastest-growing company.

🎯 What You'll Do

• Quantify causal impact of monetary incentives on user retention
• Own end-to-end A/B test design, execution, and interpretation
• Build predictive models for user behavior and LTV
• Develop advanced user segmentation models
• Translate data insights into strategic recommendations for teams

📋 Requirements

• 4+ years in data analysis role
• Proficiency in SQL and Python for complex analysis
• Experience with A/B testing and statistical modeling
• Strong understanding of data warehousing concepts

✨ Nice to Have

• Experience in marketing analytics
• Predictive modeling skills
• Experience with causal inference methods

🎁 Benefits & Perks

• 📈 Equity in the company
• 🏢 Central Berlin office with modern facilities
• 🚆 Transport subsidy
• 🍳 Breakfasts and lunches
• 🏋️ Urban Sports Club membership

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Team Interview· 60 min