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3 часа назад

Staff Data Scientist (Quick Commerce)

Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Staff Data Scientist (Quick Commerce): Developing and productionizing forecasting algorithms and ML models for a global delivery platform with an accent on supply chain optimization and scalable ML architecture. Focus on defining technical strategy, mentoring teams, and integrating state-of-the-art AI frameworks to enhance operational efficiency.

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

Company

hirify.global is a world-leading local delivery platform operating in over 65 countries, headquartered in Berlin and listed on the Frankfurt Stock Exchange.

What you will do

  • Develop, test, and productionize forecasting algorithms using machine learning and statistical inference.
  • Design and maintain ML models for personalized recommendations and supply chain processes.
  • Own the technical strategy and long-term vision for ML platform architecture.
  • Guide cross-functional teams on ML strategy, integration, and engineering excellence.
  • Define and evangelize data science best practices and standards across the organization.
  • Collaborate with product, engineering, and design teams to scale non-food offerings.

Requirements

  • 9+ years of experience in Data Science with a focus on end-to-end workflows.
  • 5+ years of experience with forecasting techniques or optimization.
  • Proven track record of building or scaling ML platforms across the full lifecycle.
  • Solid programming skills in Python, Docker, and cloud platforms (AWS or GCP).
  • Deep operational knowledge of AI frameworks like TensorFlow or PyTorch and experience with LLMs.
  • Excellent written and verbal communication skills in English.

Nice to have

  • Familiarity with orchestration tools like Airflow, Kubeflow, or MLflow.
  • Expertise in supply chain planning.

Culture & Benefits

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

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