{"id":2038869,"url":"https://alion.io/job/almedia-staff-data-scientist","title":"Staff Data Scientist","company":{"id":3704,"name":"Almedia","domain":"almedia.co","url":"https://alion.io/company/almedia-gmbh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":226000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":631},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Kubernetes","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-06T09:42:55Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T01:21:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"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).\nWe 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.\nStaff Data Scientist\nWe're looking for a Staff Data Scientist with high ownership to work on meaningful challenges at scale.\nYou 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.\nWe value diverse technical lenses. Whether you are:\nCausal inference specialist: propensity matching, DID, synthetic control, IV estimation. You turn observational chaos into rigorous insight.\n\nExperimentation architect: designing multi-arm tests, MMM, MTA, uplift modelling. You define statistical rigor.\n\nSystems thinker: building reward structures, pricing algorithms, ranking functions that balance engagement, conversion, and sustainable ROAS.\n\nZero to one builder: taking vague business questions into production data products.\n\nWhat You'll Own\nMeasurement strategy. Design causal frameworks that reveal unit economics, attribution, and intervention impact. Own the gold standard documentation so others ship faster.\n\nExperimentation infrastructure. Build platforms that enable rapid iteration and define statistical rigor without sacrificing speed.\n\nHigh leverage models. Identify and own the models that move unit economics: pricing, ranking, user incentive systems. Partner with engineering to productionize rigorously.\n\nTechnical leadership. Mentor junior data scientists. Set the bar for how we think about causality, measurement, and trade offs. Drive clarity when stakeholders disagree.\n\nCross functional influence. Work alongside Product, Engineering, and Leadership to turn data insight into business action.\n\nWhat We're Looking For\nProven autonomy. Track record moving unit economics through novel approaches. You own problems end to end.\n\nCausal thinking. Deep experience with causal inference techniques (propensity matching, DID, synthetic control, IV estimation). You reason about causality, not just fit models.\n\nExperimentation expertise. Led complex multi-arm experiments and designed or owned MMM, MTA, or uplift modelling systems. You understand type I and type II error costs.\n\nProduction maturity. Built and deployed models in product environments (Gaming, AdTech, user incentive systems preferred). You own metrics, monitoring, and decay.\n\nData engineering fluency. Comfortable with modern data stacks (dbt, Airflow, Kubernetes, Terraform). You architect alongside engineering, not just consume.\n\nCommunication and presence. Drive clarity in ambiguous situations. Translate complex analysis into decisions. Bring stakeholders along.\n\nWhy Almedia\nGrow at Almedia: profitable from launch, higher revenue per employee than Big Tech.\n\nSharp, small team: we keep it small on purpose, every hire raises the bar.\n\nEquity: every Berlin employee gets a stake.\n\nTop of market baseline. Deliver outlier impact, earn accordingly.\n\nWe 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. 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