(Senior) Applied Scientist – Logistics Algorithms (all genders)

at  Zalando

As a (Senior) Applied Scientist, you will be part of an expert team of researchers and engineers responsible for developing and operating algorithmic decision components that optimise order fulfilment in all of Zalando’s warehouses. Your focus will be on creating advanced batching algorithms that determine the most efficient way to group orders for fulfilment, thereby minimising the total walking distance required for picking items.
In this role, you will face three significant challenges: conducting cutting-edge research to enhance algorithmic performance, gaining a deep understanding of warehouse operations to identify and address optimization opportunities, and systematically analysing data to ensure that algorithms perform in production systems as anticipated from experimental results.
If you are passionate about applying scientific principles to solve real-world problems and have an interest in developing impactful algorithms, we want to hear from you. This position offers the chance to contribute to innovative solutions and drive the success of our logistics operations. For a glimpse into the type of work our team does, check out our recent preprint: https://arxiv.org/abs/2401.04563.