Related skills
data analysis sql python predictive modeling causal methods📋 Description
- Lead predictive models, incl. CLTV, to identify high-value user segments.
- Design and analyze hundreds of A/B tests and causal methods.
- Partner with CEO and marketing to translate data into strategy.
- Work on attribution, fraud prevention, and data-driven features.
- Deep-dive with SQL and Python to build models.
🎯 Requirements
- 4+ years in data science/analytics focused on growth metrics.
- Expertise in predictive modeling (LTV), segmentation, and experiments.
- Proficiency in SQL and Python for analysis and modeling.
- Experience collaborating with engineers and business leads.
- Strong business acumen; translate data requests into actionable solutions.
🎁 Benefits
- Equity for Berlin-based employees.
- Profitable startup with growth opportunities.
- Central Berlin office for collaboration.
- Transport subsidy, meals, language learning, Urban Sports Club.
- Culture of listening to employee feedback and ownership.
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