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Senior Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Data Scientist (AI): Building and scaling social proof systems using LLMs and NLP to enhance user decision-making with an accent on end-to-end product ownership and production reliability. Focus on designing evaluation infrastructure, implementing statistical rigor in A/B testing, and translating complex business problems into scalable ML solutions.

Location: Must be based in or able to relocate to Berlin, Germany (Hybrid: 2 days/week in office).

Company

A pioneering global local delivery platform headquartered in Berlin, operating in over 65 countries and listed on the Frankfurt Stock Exchange.

What you will do

  • Own and scale social proof solutions end-to-end, ensuring high quality and coverage across platforms.
  • Drive the product roadmap by identifying high-impact opportunities and translating them into concrete ML initiatives.
  • Take LLM solutions from prototype to production, collaborating with engineering on architecture and data flows.
  • Establish LLM evaluation infrastructure, including offline pipelines and annotation processes.
  • Design and own A/B tests and quasi-experiments to ensure credible impact measurement.
  • Define and operationalize metrics that reflect true business value.

Requirements

  • Must be based in or able to relocate to Berlin, Germany.
  • Hands-on experience with NLP and LLM-based systems in noisy, multilingual contexts.
  • Strong judgment on model selection, prompt engineering vs. fine-tuning, and cost/latency trade-offs.
  • Experience owning data science solutions end-to-end from problem definition to production.
  • Production-grade coding skills in Python and SQL.
  • Strong foundation in statistics, causal inference, and hypothesis testing.

Nice to have

  • Experience with data collection and labeling pipelines.
  • Familiarity with agentic development tools.

Culture & Benefits

  • Hybrid working model with 2 days per week in the Berlin campus.
  • 27 days of holiday plus service-based increases.
  • 1,000 € annual educational budget and access to Udemy Business.
  • Comprehensive health benefits including checkups, gym, and meditation.
  • Financial perks: Employee Share Purchase Plan, corporate pension, and meal vouchers.
  • Relocation support for those moving to Berlin.

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