Almedia, named Europe’s #3 fastest-growing company in 2025 (FT1000), rewards a community of over 95 million users for engaging with advertisers’ products. It is hiring a Staff Data Scientist in Berlin with high ownership of measurement strategy, experimentation infrastructure and pricing and ranking models. Every Berlin employee gets equity.
About Almedia
Business: Marketing platform that rewards users for engaging with advertisers’ products
Community: Over 95 million users
Growth: Europe’s #3 fastest-growing company in 2025 (FT1000)
Goal: Become Germany’s second bootstrapped unicorn
Benefits & Career Opportunity
Equity: Every Berlin employee gets a stake
Pay: Top-of-market baseline, with rewards tied to impact
Team: Small, sharp team where every hire raises the bar
Growth: Profitable from launch, with higher revenue per employee than Big Tech
Position Overview
As Staff Data Scientist, you own measurement strategy: causal frameworks that reveal unit economics, attribution and intervention impact, with clear documentation others can build on. You build experimentation infrastructure that speeds up iteration while keeping statistical rigour. You own the high-leverage models that move unit economics, such as pricing, ranking and user incentive systems, and productionise them with engineering. You mentor junior data scientists, set the standard for causality and trade-off thinking, and work with Product, Engineering and Leadership to turn insight into business action.
Why This Role Matters: A staff role at a fast-growing, profitable company means real influence on unit economics, not just reporting. The firm keeps its team small on purpose, offers equity to everyone in Berlin and says it pays at the top of the market for outlier impact.
Key Responsibilities
Measurement & Experimentation
- Design causal frameworks for unit economics, attribution and intervention impact, and keep the documentation current
- Build experimentation platforms that allow rapid iteration with statistical rigour
Models
- Own the models that move unit economics: pricing, ranking and user incentive systems
- Work with engineering to productionise them rigorously
Leadership & Influence
- Mentor junior data scientists and set the bar for causality and measurement
- Work with Product, Engineering and Leadership to turn insight into action
- Bring clarity when stakeholders disagree
Qualifications
Experience
- Proven autonomy: a track record of moving unit economics through novel approaches
- Deep experience with causal inference: propensity matching, DID, synthetic control, IV estimation
- Led complex multi-arm experiments and designed or owned MMM, MTA or uplift modelling systems
Technical Skills
- Built and deployed models in product environments; gaming, AdTech and user incentive systems preferred
- Comfortable with modern data stacks: dbt, Airflow, Kubernetes, Terraform
Personal
- Strong communication, able to turn complex analysis into decisions
- Drive clarity in ambiguous situations and bring stakeholders along
About Almedia
Almedia builds a marketing platform that rewards more than 95 million users for engaging with advertisers’ products, offering a new way to acquire users for large companies. It calls itself Europe’s #3 fastest-growing company in 2025 and is an equal opportunity employer that encourages applicants from all backgrounds.
How to Apply: The posting lists no email or application link, so apply through the Almedia careers page. Salary is described only as a top-of-market baseline, with no figure.
Who Should Apply?
- Senior Data Scientists: With causal inference depth
- Experimentation Leads: With MMM or MTA experience
- AdTech Modellers: Working on pricing and ranking
- Data Product Builders: Moving from zero to one
- Berlin Tech Talent: Wanting equity and ownership
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