Senior Machine Learning Scientist / Data Engineer - Logistics Algorithms (all genders)

Zalando GmbH; Berlin; Vor Ort; EUR 95.000 - 130.000; Vollzeit

Benefits dieser Stelle

Employee shares program

Relocation assistance available

Health and wellbeing options

Gympass

Zusammenfassung

Zalando GmbH is seeking a Senior ML Scientist / Data Engineer to drive algorithmic research-driven software development in our logistics team. This role focuses on predictive warehousing and scalable data processing to improve warehouse efficiency across our systems.

You will work on research, prototyping, and production software, with opportunities to mentor others and influence development methodologies. Collaboration with engineers and product owners is key in an agile environment.

Qualifikationen

• Master’s or PhD in Mathematics, CS, or a quantitative field with industry experience in algorithm-related software development.
• Hands-on experience with microservices and distributed data processing (e.g., Spark, Databricks).
• At least 6 years of applied research translating real-world problems into mathematical models.

Aufgaben

• Drive the research, design, and implementation of algorithms and predictive models.
• Deliver end-to-end solutions covering research, prototyping, production software, testing, and operation of a highly available system.
• Influence research and development methodologies to foster a scalable, data-driven architecture.
• Support and coach other Applied Scientists by sharing knowledge and expertise.

Kenntnisse

Applied research

Algorithm development

Java/Kotlin/Python

Microservices

Distributed systems

Mathematics/Statistics

Team collaboration

Ausbildung

Master's or PhD in quantitative field

Tools

Spark

Databricks

Jobbeschreibung

As a SeniorML 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.

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.
• 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.
• Your strengths extend to your ability to effectively collaborate within an agile and cross-functional team environment, engaging with engineers, product owners, and fellow applied scientists.

Want to know what kind of problems you will be working on? You can find on this google doc a stochastic optimization problem that showcases an example. 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 counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available