Best suited to candidates with strong causal inference experience and a builder mindset working in high-impact, AI-native marketing startups in Berlin.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Almedia via Ashby
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 95 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
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 and LLM tooling is a plus — whether that's integrating language models into data workflows, using AI-assisted analysis to move faster, or exploring how generative and predictive AI can sharpen measurement and personalisation at scale. We're an AI-native team and expect this role to grow alongside those capabilities.
YOU ARE
- A builder with a strong ownership mindset — you don't wait for a spec.
- Rigorous but pragmatic: the stats matter, but the business question matters more.
- Someone who, if they have to debug something twice, automates it.
- A clear communicator — you can translate model outputs into decisions that non-technical stakeholders can act on.
WHY ALMEDIA?
- Own Our Growth: Competitive package with meaningful equity.
- High Impact: Work on company-defining projects, not tickets in a queue.
- Scale With Almedia: Join a profitable, high-growth startup early.
- Great Environment: Central Berlin office, transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Source: Almedia careers (Ashby)