Founding Data Scientist

Навыки

• Атрибуция
• dbt
• Google Cloud
• Лидерство
• LLM
• Machine Learning
• Ответственность за результат

О компании и продукте

• 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

Задачи

• 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
• 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)

Требования

• 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
• 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

Условия

• 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

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