Applied Scientist - Logistics Algorithms (all genders)

THE ROLE AND THE TEAM

As an

Applied Scientist , you will contribute to 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 optimisation problem at the crossroads of combinatorial optimisation 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.

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 and you may inform us of any accommodations you may need so we can best support you throughout the hiring process.

• What We’d Love You To Do (and Love Doing)
• Contribute to the research, design, and implementation of algorithms and predictive models.
• Deliver end‑to‑end solutions with the team, including research, prototyping, implementing production software, and 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 Ph D in Mathematics, Computer Science, or another quantitative field, ideally with real‑world applications in operational research and machine learning.
• You demonstrate a practical and theoretical understanding of various algorithmic techniques (e. g., combinatorics, graph theory, control theory), mathematical modelling (e. g., operations research, statistics, experimentation), and machine learning approaches (e. g. forecasting, Bayesian networks).
• You are passionate about solving interesting mathematical problems and seek more real‑world impact.
• Experience with software engineering related to microservice architecture or data processing is a plus.
• You can collaborate effectively within an agile and cross‑functional team, engaging with engineers, product owners, and fellow applied scientists.

Want to know what kind of problems you will be working on?

You can find a stochastic optimisation problem that showcases an example in this google doc.

If you like solving mathematical puzzles, send us your solution instead of uploading a cover letter.

• OUR OFFER
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counselling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available
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