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About the Role
As part of the 4flow research team, you will work on highly relevant and practice-oriented topics with a direct connection to research, initially limited to 3 years.
Responsibilities
- Extend our expertise in areas of Supply Chain Management with and without quantitative focus, e.g. inventory management.
- Contribute to pioneering research projects and help to define tomorrow’s supply chain strategies.
- Deliver research and analytics services through programming and data management, including mathematical modeling and design of AI agents.
- Collaborate on team activities and internal knowledge exchange initiatives to strengthen our agile culture.
Requirements
- You hold a Master’s or Diploma degree in a relevant field.
- Strong technical skills in mathematical modeling, simulation or optimization.
- Proficiency in Python and common scientific computing and machine learning libraries, combined with a strong interest in and first practical experience with modern AI technologies such as RAG and AI agents.
- A passion for solving complex supply chain management and logistics problems, complemented by initial practical experience in the field.
- You’re self-driven, eager to learn and ready to bring innovative ideas to the table.
Skills
- Python
- Scientific computing
- Machine learning libraries
- RAG
- AI agents
- Mathematical modeling
- Simulation
- Optimization
Location
- Berlin
- Hamburg
Work Type
- Remote work up to 90 days per year within the EU
- Flexible working hours
Experience Level
- Initial practical experience in the field
Education Level
- Master’s or Diploma degree
Benefits
- Option for additional unpaid vacation
- Possibility of sabbatical
- Time and budget for training and development
- Flexible mobility budget
- Subsidized Urban Sports Club membership
- Mental health coaching through our employee assistance program
About the Company
- Our 4flow research team conducts exciting research projects, develops innovative digitalization solutions and creates market-relevant studies in the field of supply chain management and logistics.
Equal Opportunity
- We are committed to equal opportunities and welcome applications from all individuals, regardless of age, gender, origin, disability, sexual orientation, religion, or any other legally protected characteristic.