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Almedia

Performance-based rewarded-user acquisition for apps

Data Scientist

Applied Machine LearningUpdated on Nov 10
Full-timeBerlin, Germany

About the Job

Requirements

  • Strong Python and SQL skills.
  • A research or academic background demonstrated through published work, a thesis, strong coursework, or competition results.
  • Ability to start work on vague problems without waiting for a specification and take the work further than requested.
  • Ability to identify the most important metric and determine which question to answer first.
  • Ability to reason in terms of causation and testable hypotheses, and to debug rigorously when systems fail.

Responsibilities

  • Build and ship models that predict user value, engagement, and reward behaviour, and deploy them to production.
  • Design and run A/B tests on offers, rewards, and ranking, and determine causal factors behind results.
  • Build data infrastructure and measurement systems that enable rigorous impact analysis.
  • Take ownership of undefined product problems from initial idea through production.

Desired Qualifications

  • Kaggle competition results, published papers, thesis work, or a system built and hardened independently.

About the Company

Almedia

Performance-based rewarded-user acquisition for apps

Almedia is a Berlin-based adtech company that offers an Engagement Engine to help mobile game developers and app publishers acquire high-quality users through rewarded actions. The platform uses data analysis and machine learning to optimize real-time ROAS and charges advertisers only when users complete high-value objectives, with automated fraud prevention and first-party data from owned platforms like FreeCash. It differentiates itself by being bootstrapped, focusing on long-term player value, and maintaining transparent data exchange, avoiding reliance on third-party tracking. Its goal is to enable sustainable growth for B2B clients across global markets (NA, Europe, Asia) in mobile gaming and fintech through scalable, performance-based user acquisition.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Berlin, Germany
Founded
2020

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