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1 день назад

Principal Data Scientist (AdTech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Principal Data Scientist (AdTech): Lead development of advanced AI-powered ranking and bidding models for digital advertising to maximize advertiser ROI and user experience with an accent on large-scale machine learning systems and auction dynamics. Focus on designing, deploying, and innovating state-of-the-art ranking models, personalization, and multi-objective optimization under uncertainty.

Location: Hybrid in Berlin, Germany (2 days onsite per week)

Company

hirify.global is a leading global local delivery platform operating in over 70 countries, headquartered in Berlin, Germany, listed on the Frankfurt Stock Exchange and part of the MDAX index.

What you will do

  • Drive innovation in AI-powered ranking and bidding systems for digital advertising.
  • Lead creation of advanced models to redefine auction dynamics and maximize advertiser ROI.
  • Elevate advertising intelligence capabilities and set new industry benchmarks.
  • Design and deploy large-scale AI systems delivering multi-million-euro business outcomes.
  • Define and drive technical strategy for Data Science and ML across multiple teams.
  • Mentor senior engineers and build alignment across engineering, product, and data organizations.

Requirements

  • Location: Hybrid work with presence in Berlin campus 2 days a week
  • English: B2 level or higher
  • Expertise in ranking models, personalization, and multi-objective optimization under uncertainty.
  • Strong knowledge of AI frameworks such as TensorFlow and PyTorch.
  • Deep understanding of ad auctions, programmatic advertising, and economic modeling.
  • Advanced proficiency in Python, SQL, and data workflow design.

Nice to have

  • Expertise in auction design and dynamic pricing models.
  • Experience with reinforcement learning or causal inference applied to business problems.
  • Knowledge of A/B testing methodologies and large-scale recommendation or forecasting systems.

Culture & Benefits

  • Hybrid working model with office presence in Berlin 2 days per week.
  • 27 days holiday plus extra days after 2nd and 3rd year.
  • 1,000 € educational budget, language courses, parental support, and Udemy access.
  • Health checkups, meditation, gym and bicycle subsidies.
  • Employee share purchase plan, sabbatical bank, public transport discounts, insurance, and pension plan.
  • Digital meal vouchers, food discounts, and corporate discounts.

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