Staff Data Scientist (Quick Commerce)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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