Senior Machine Learning Scientist
Posted 15 Jul 2026
Advertised as “Senior Machine Learning Scientist / Data Engineer - Logistics Algorithms (all genders)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Mathematics (or related)
Study levelMaster's or higher
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.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
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Drive the research, design, and implementation of algorithms and predictive models.
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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.
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Influence our research and development methodologies to foster a scalable and data-driven architecture.
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Support and coach other Applied Scientists by sharing your knowledge and expertise in applied research.
WE'D LOVE TO MEET YOU IF
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You hold a Master’s or PhD in Mathematics, Computer Science, or another quantitative field, together with industry experience in , or similar.