Senior Data Scientist – Logistics Algorithms | Senior Data Scientist – Logistics Algorithms (all genders)
Zalando SE
Job Summary
As a Senior Data Scientist, you will join an expert team focused on developing and operating algorithmic decision components to optimize order fulfillment across Zalando's warehouses. Your core responsibility will be to understand intra-logistic processes, predict their duration and throughput, and enhance warehouse operations planning, execution, and customer delivery promise accuracy. This role involves building, productionizing, and maintaining accurate prediction models by gaining deep operational knowledge of warehouse processes like picking, packing, sorting, and dispatching. You will also be challenged to distill vast quantities of warehouse data into actionable insights for data-driven decision-making. This position is ideal for someone passionate about leveraging data science to solve complex real-world problems and derive insights from large datasets, offering the chance to create innovative, data-driven solutions that significantly impact logistics success.
Required Skills
Education
Strong academic background in Mathematics, Computer Science, or a related field
Experience
- Hands-on experience working with data platforms and big data technologies
- Experience managing large-scale data pipelines and distributed computing principles
- Experience writing data-processing workflows in Python or Scala
- Experience with Spark for building efficient and scalable solutions
Languages
Additional
- Not specified
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