Data Scientist

About the role

We're looking for a Data Scientist to help us understand and optimize how our marketplace performs and how our talent behaves, from first touch to long-term retention. You'll sit within a centralized Analytics & Data Science team but cross-functionally work across Marketing, Sales, Product & Engineering, and Ops. Your job is to bring clarity: defining the right metrics, building reliable data models, and turning complex analyses into decisions that move the business forward.

What you'll do

• Define and maintain key metrics across the marketplace and user lifecycle, supported by reliable dbt models that teams can trust.
• Build self-service dashboards, reporting layers, and playbooks that make data accessible and actionable across internal teams.
• Develop attribution and measurement models (multi-touch attribution, data-driven attribution, Marketing Mix Models) to understand channel contribution to acquisition and engagement.
• Model talent behavior including conversion, retention, and Customer Lifetime Value to help the business focus on sustainable marketplace growth.
• Design and analyze experiments (A/B tests, incrementality tests) to measure the causal impact of marketing and product changes.

What you'll need

• 4+ years of experience in analytics, data science, or marketing science/analytics, ideally in a marketplace or platform business
• Expert-level SQL and strong experience with dbt or similar transformation tools
• Proficiency with BI and visualization tools/frameworks (e.g., Metabase, Tableau, Streamlit)
• Deep understanding of digital marketing ecosystems (e.g. Google, Meta, TikTok, CRM tools like Salesforce)
• Hands-on experience with attribution modeling, experimentation, and performance measurement
• AI-first mindset, leveraging modern AI tools to improve workflows and impact
• High ownership: proactively identifying problems and driving solutions end-to-end

Nice to have

• Python experience, especially for statistical modeling

What they offer

• 28 days paid vacation (up to 30), plus 5 days paid educational leave and unpaid leave option
• Hybrid model: remote up to 2 days/week from Berlin (Prenzlauer Berg office)
• Annual training budget of EUR 750 and mentoring opportunities
• EUR 30/month Urban Sports Club grant and in-office sports room
• EUR 40/month NAVIT credit for public transport and bike sharing