About the team
As a Senior ML Scientist / Data Engineer, you will drive algorithmic research-driven software development in a logistics team. At Zalando, we process millions of customer orders every week and our systems make critical scheduling, planning, and routing decisions within our warehouses. Predictive warehousing allows us to preemptively take actions, which improve the warehouse efficiency by solving a stochastic optimization problem, at the crossroads of combinatorial optimization and data science. Our research pipeline enables fast incremental improvements which together with the scale of our decisions has a direct impact on the productivity of our warehouses.
What we'd love you to do (and love doing)
- Drive the research, design, and implementation of algorithms and predictive models.
- Deliver end-to-end solutions and set the bar for the entire development cycle, which includes research, prototyping, implementing production software, as well as testing and operating the highly available production system.
- Influence our research and development methodologies to foster a scalable and data-driven architecture.
- Support and coach other Applied Scientists by sharing your knowledge and expertise in applied research.
We'd love to meet you if
- You hold 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.
- Your professional background includes hands-on experience with state-of-the-art methods in software engineering, particularly microservice architecture and distributed systems for data processing (e.g. Spark, Databricks).
- You demonstrate a practical understanding of various advanced algorithmic techniques (e.g., from combinatorics, graph theory), mathematical modeling (e.g., from operations research, statistics, experimentation), and machine learning approaches (e.g. forecasting, Bayesian networks).
- You exhibit a high degree of autonomy to translate real-world business cases into mathematical problems, with a proven record of at least 6 years of applied research experience.