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3 дня назад

Head of Data Science and Analytics (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK/Serbia/Poland +6 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Head of Data Science and Analytics (AI): Building data science, analytics, and data engineering capabilities for an AI-native software development platform with an accent on experimentation, scalable data foundations, and product-led growth. Focus on leading multidisciplinary teams, designing compliant data infrastructure and pipelines, and applying machine learning to acquisition, personalization, and operational efficiency.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia. Flexible home-or-office work is available, with remote work from abroad for up to 30 days per year.

Company

hirify.global creates intelligent software development tools used by more than 15 million users, over 300,000 organizations, and 88 of the Fortune Global Top 100 companies.

What you will do

  • Build and lead a multidisciplinary team of data scientists, analysts, and data engineers.
  • Define the data strategy for hirify.global Air and align it with product and engineering priorities.
  • Establish experimentation practices, metric frameworks, data models, scalable analytics foundations, and self-service reporting.
  • Partner with engineering on robust, compliant data infrastructure and pipelines.
  • Use customer-journey insights to improve acquisition, retention, monetization, and go-to-market decisions.
  • Guide machine learning capabilities for marketing acquisition, product personalization, and operational efficiency, translating complex signals into recommendations for leadership.

Requirements

  • Experience leading and scaling a data function in a product-led, B2B SaaS, AI, or developer-tools environment.
  • Strong knowledge of data science and analytics, including cohort analysis, A/B testing, segmentation, and machine learning applications for product and marketing.
  • Understanding of data engineering fundamentals, including data modeling and orchestration.
  • Experience hiring, mentoring, and developing multidisciplinary data teams.
  • Strategic mindset with willingness to work hands-on when necessary.
  • Ability to build experimentation cultures, navigate ambiguity, learn quickly, and find practical solutions to difficult problems.
  • Clear, candid communication with technical and non-technical stakeholders.
  • Interest in developer products and a clear perspective on how AI will shape software creation.
  • Commitment to privacy, security, and responsible data use.

Culture & Benefits

  • Flexible work from home or office, with location-dependent benefits.
  • Competitive base salary, extra time off, and medical insurance allowance.
  • Learning opportunities including conferences, courses, and language classes.
  • Relocation support is available.
  • Lunch or meal allowance, mental health support, and sports benefits.
  • Internal company events and team gatherings.

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