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Data Scientist (Machine Learning)

80 000 - 150 000€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist (Machine Learning): Building and shipping production models that predict user value, engagement, and reward behaviour, with an accent on experimentation, causal reasoning, and impact measurement. Focus on designing A/B tests, building data infrastructure, and solving undefined product problems from research through production.

Location: Berlin, Germany; on-site

Salary: €80K–€150K per year

Company

hirify.global is building a marketing platform that rewards more than 95 million users for engaging with advertisers’ products and helps major companies acquire users.

What you will do

  • Build and ship production models predicting user value, engagement, and reward behaviour.
  • Design and run A/B tests for offers, rewards, and ranking systems.
  • Apply causal reasoning to determine what drives observed results.
  • Build data infrastructure and measurement systems for rigorous impact analysis.
  • Own undefined product problems from initial idea through production deployment.

Requirements

  • Strong Python and SQL skills.
  • Research or academic experience demonstrated through published work, a thesis, strong coursework, or competition results.
  • Ability to start with vague problems, identify the most important questions, and take ownership beyond the initial brief.
  • Strong causal reasoning, hypothesis testing, and rigorous debugging skills.
  • Ability to use AI tools productively while verifying their output.

Nice to have

  • Kaggle competition results, published papers, thesis work, or experience building and hardening a production system independently.

Culture & Benefits

  • Small, high-performing team with a strong quality bar.
  • Equity stake for every Berlin employee.
  • Profitable company with a focus on rapid professional growth.
  • Top-of-market baseline compensation with additional reward for exceptional impact.
  • Clear path for growth and evaluation across skill levels.

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