Founding Data Scientist

Founding Data Scientist working directly with leadership on zero-to-one measurement and growth problems. This is for someone who can take an ambiguous, high-stakes question and build the data infrastructure to answer it reliably, then own what comes next.

What you'll do

• Own incrementality testing across marketing, product, and rewards — proving its value from hypothesis to business impact.
• Build the data pipelines and measurement stack behind it, tying experiments to real shifts in user behaviour, monetisation, and multi-touch attribution.
• Drive experimentation strategy across growth and product: design, run, and interpret tests with a sharp focus on causal validity — not just p-values.
• Own data products end-to-end: scoping, architecture, implementation, rollout.
• Partner with C-level, engineering, and business stakeholders to turn measurement into live operational decisions.
• Set the frameworks and practices the team can scale on.

What you'll need

• Deep expertise applying causal inference and experimental design in practice, in real business contexts.
• Hands-on experience building and operationalising attribution models in a real business context — not just running models, but making them useful.
• Proven zero-to-one experience: ambiguous problem, built the infrastructure, shipped something production-ready.
• Proficiency in Python and SQL; GCP preferred; comfortable with modern data stack tools (dbt).
• Experience with programmatic advertising, ML pricing, or mobile measurement — MMPs, probabilistic attribution, or similar is a strong plus.

Nice to have

• Familiarity with AI and LLM tooling — integrating language models into data workflows, using AI-assisted analysis, or exploring how generative and predictive AI can sharpen measurement and personalisation at scale.

What they offer

• Competitive package with meaningful equity.
• Central Berlin office with transport subsidy.
• Breakfasts, lunches, language learning, and Urban Sports Club.