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6 часов назад

Founding Data Scientist (AI)

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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TL;DR
Founding Data Scientist (AI) (Causal Inference/Experimentation): Building zero-to-one measurement infrastructure and data products for growth, marketing, product, and rewards with an accent on causal inference, incrementality testing, and attribution modeling. Focus on designing rigorous experiments, operationalising pipelines, connecting tests to user behaviour and monetisation, and translating model outputs into business decisions.

Location: Berlin, Germany; on-site

Company

hirify.global is a profitable, high-growth startup building a marketing platform that rewards more than 80 million users for engaging with advertisers’ products.

What you will do

  • Own incrementality testing across marketing, product, and rewards, from hypothesis development through business impact measurement.
  • Build data pipelines and the measurement stack connecting experiments to user behaviour, monetisation, and multi-touch attribution.
  • Define and lead experimentation strategy across growth and product, designing, running, and interpreting causally rigorous tests.
  • Own data products end-to-end, including scoping, architecture, implementation, and rollout.
  • Partner with C-level, engineering, and business stakeholders to turn measurement into operational decisions.
  • Establish scalable frameworks and practices for the team.

Requirements

  • Deep practical expertise in causal inference and experimental design in real business contexts.
  • Hands-on experience building and operationalising attribution models, including making them useful in production.
  • Proven zero-to-one experience solving ambiguous problems and shipping production-ready infrastructure.
  • Proficiency in Python and SQL; familiarity with GCP and modern data stack tools such as dbt.
  • Strong ownership, pragmatic analytical judgement, and the ability to communicate model outputs to non-technical stakeholders.
  • Willingness to work on-site from the central Berlin office.

Nice to have

  • Experience with programmatic advertising, ML pricing, or mobile measurement, including MMPs or probabilistic attribution.
  • Familiarity with AI and LLM tooling for data workflows, analysis, measurement, or personalisation.

Culture & Benefits

  • Competitive package with meaningful equity.
  • Company-defining projects with significant ownership and impact.
  • Opportunity to join a profitable, high-growth startup at an early stage.
  • Central Berlin office with transport subsidy, breakfasts and lunches, language learning, and Urban Sports Club.
  • Equal opportunity workplace with a focus on diversity and talent development.

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