Founding Data Scientist

Almedia
Berlin
Workplace: OnsiteFull timeEUR 80,000 - 200,000 annuallyFunction: Data Science & Machine LearningSkills: ["Python","SQL","Dbt","GCP","Causal inference","Experimentation","Attribution"]

Founding Data Scientist to partner with leadership on zero-to-one measurement and growth problems. Build the data infrastructure to answer ambiguous, high-stakes questions, design causal experiments, and own end-to-end data products that drive business impact, scaling measurement frameworks for a fast-growing marketing platform.

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FursaFursa
Almedia
Almedia
3 months ago

Founding Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Founding Data Scientist to partner with leadership on zero-to-one measurement and growth problems. Build the data infrastructure to answer ambiguous, high-stakes questions, design causal experiments, and own end-to-end data products that drive business impact, scaling measurement frameworks for a fast-growing marketing platform.
Location: Berlin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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.

Pay and Benefits

Salary: EUR 80,000 - 200,000 annually
Equity and Bonus:Equity
Perks:EquityCommuter BenefitsLanguage LearningBreakfastsMeal Allowance

Key Requirements

  • •Deep expertise applying causal inference and experimental design 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.
Experience:AdvertisingMarketingDigital marketingTech startup
Skills:PythonSQLDbtGCPCausal inferenceExperimentationAttribution
Tech Stack:PythonSQLGCPDbt

Company Brief

Almedia
Almedia builds rewarded user-acquisition and engagement products (e.g., Freecash, Prizeplay, zave.it) that pay users for interacting with ads and games, helping advertisers drive high-LTV acquisition and retention.
Industry: Advertising Media Groups
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Bootstrapped
Headquarters: Berlin, Germany
Founded: 2020
Glassdoor
Glassdoor: 3.7
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