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Staff Data Scientist

Almedia•Berlin
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/9/2026•Expires 11/8/2026
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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 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.

Staff Data Scientist We're looking for a Staff Data Scientist with high ownership to work on meaningful challenges at scale. You spot leverage points others miss: measurement systems that unlock pricing, experimentation infrastructure that multiplies output, causal models that rewrite unit economics.

You own these end to end. We value diverse technical lenses. Whether you are: Causal inference specialist: propensity matching, DID, synthetic control, IV estimation. You turn observational chaos into rigorous insight. Experimentation architect: designing multi-arm tests, MMM, MTA, uplift modelling.

You define statistical rigor. Systems thinker: building reward structures, pricing algorithms, ranking functions that balance engagement, conversion, and sustainable ROAS. Zero to one builder: taking vague business questions into production data products. What You'll Own Measurement strategy.

Design causal frameworks that reveal unit economics, attribution, and intervention impact. Own the gold standard documentation so others ship faster. Experimentation infrastructure. Build platforms that enable rapid iteration and define statistical rigor without sacrificing speed. High leverage models.

Identify and own the models that move unit economics: pricing, ranking, user incentive systems. Partner with engineering to productionize rigorously. Technical leadership. Mentor junior data scientists. Set the bar for how we think about causality, measurement, and trade offs. Drive clarity when stakeho

Required Skills

causal inferencepropensity matchingDIDsynthetic controlIV estimationmulti-arm testsMMMMTAuplift modellingpricing algorithmsranking functionsmeasurement strategycausal frameworksattributionintervention impactdocumentationexperimentation infrastructurerapid iterationhigh leverage modelsuser incentive systemstechnical leadershipmentoring

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