Data Scientist Logistics Network Simulation and Optimization (w/m/d)
Core
Develop data-driven models, simulations, and optimization approaches to translate complex supply-chain questions into actionable insights for the tactical orchestration of the dm logistics network.
Role type
Data Scientist (Logistics Network Simulation and Optimization)
Builds
Prescriptive decision-support models, scalable automation solutions, and optimized logistics workflows for dm's logistics network.
Domain
Retail logistics, Supply Chain Management, Operations Research
Deliverable
production ML models | product features
Required skills
Python, quantitative logistics, Supply Chain Management, Operations Research, exploratory data analysis, prescriptive modeling, system architecture design, data validation, automation
Preferred skills
Modern software development experience, agile methodology
Technologies
Python
Responsibilities
Conduct deep exploratory data analysis and develop innovative prescriptive decision-support models; collaborate within a Scrum team to drive prioritized requirements; identify requirements and design technical solutions and system architecture; validate data foundations and model results to ensure quality and integrity; identify automation potentials and develop scalable solutions.
Seniority
Mid-level, hands-on IC
