Founding Data Scientist

Job description

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Founding Data Scientist €90K – €170K • Offers Equity • Offers Bonus We're looking for a Founding Data Scientist to work directly with leadership on zero-to-one measurement and growth problems. This is not a role for maintaining existing systems — it's for someone who can take an ambiguous, high-stakes question and build the data infrastructure to answer it reliably, then own what comes next. We value people who combine measurement rigour with builder instincts: someone equally comfortable designing a causal experiment and shipping the pipeline that operationalises its output. 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 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. Familiarity with AI a…