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2 дня назад

Head of Data Science (AI)

120 000 - 160 000€
Формат работы
onsite
Тип работы
fulltime
Грейд
head
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
Head of Data Science (AI): Leading a seven-person data science team building reliable machine learning products that measure brands, products, sentiment, citations, and sources across AI-generated answers with an accent on team growth, production quality, and scalable ML infrastructure. Focus on setting the technical roadmap, improving evaluation and reproducibility, reviewing architecture and modeling decisions, and solving measurement challenges across noisy LLM outputs.

Location: Berlin, Germany; onsite

Salary: €120K–€160K plus equity

Company

hirify.global is an AI search platform helping marketing teams understand and improve how brands are discovered, represented, and recommended by AI systems. Founded in January 2025, the Series A company has reached $20M ARR and 4,000 paying customers, with more than 100 employees across Berlin and New York.

What you will do

  • Lead and grow a team of 7 data scientists through hiring, onboarding, 1:1s, feedback, and career development.
  • Build a high-quality, ownership-oriented team culture with clear standards and rituals.
  • Set the data science technical direction and roadmap with product and engineering leadership.
  • Own production quality, operational excellence, evaluation, monitoring, and reproducibility across the ML lifecycle.
  • Drive scalable machine learning data infrastructure and review designs, code, architecture, and modeling decisions.
  • Represent data science to executives, customers, product, and engineering stakeholders.

Requirements

  • 8+ years of experience in data science or machine learning, including 3+ years managing data scientists or ML engineers as direct reports.
  • Experience building high-performing teams through hiring, people development, and team standards.
  • Experience taking ML products from research to production and establishing reliable evaluation, monitoring, and reproducibility practices.
  • Solid understanding of LLMs and strong measurement and statistical judgment for noisy outputs.
  • Strong technical depth for reviewing architecture and modeling decisions, ideally in cloud-native environments.
  • Clear communication with executives, engineers, and customers, including communicating uncertainty honestly.
  • Good judgment under ambiguity and ownership of outcomes despite blockers.

Nice to have

  • GCP experience.
  • Contributions to open-source projects or ML tooling.
  • Public side or research projects demonstrating technical depth.
  • Publications or talks at ML or AI conferences.
  • Founder experience or senior technical leadership at a high-growth startup.

Culture & Benefits

  • Leadership role with significant impact and ownership at a fast-growing Series A startup.
  • Regular team events and off-sites.
  • Aggressive equity compensation package.
  • Paid dinner and Uber home when working late.
  • Onsite work in a dedicated Berlin office environment.

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