Darum lohnt es sich
About the TeamAs a Senior ML Scientist / Data Engineer, you will drive algorithmic research-driven software development in a logistics team. Our systems make critical scheduling, planning, and routing decisions within warehouses, processing millions of customer orders every week.
Predictive warehousing allows us to preemptively take actions that improve warehouse efficiency by solving a stochastic optimization problem at the crossroads of combinatorial optimization and data science.
Our research pipeline enables fast incremental improvements that directly impact the productivity of our warehouses.ResponsibilitiesDrive the research, design, and implementation of algorithms and predictive models.Deliver end-to-end solutions and set the bar for the entire development cycle, including research, prototyping, implementation of production software, testing, and operation of highly available production systems.Influence research and development methodologies to foster a scalable, data‑driven architecture.Support and coach other Applied Scientists by sharing knowledge and expertise in applied research.QualificationsHold a Master’s or PhD in Mathematics, Computer Science, or another quantitative field, together with industry experience in algorithm‑related software development in Java, Kotlin, Python, or similar.Hands‑on experience with state‑of‑the‑art methods in software engineering, particularly microservice architecture and distributed systems for data processing (e.g., Spark, Data
