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

Zalando; Berlin; Vor Ort; EUR 90.000 - 150.000; Vollzeit

Benefits dieser Stelle

Employee shares program

Relocation assistance available

27 days vacation

Zusammenfassung

Zalando is seeking a Senior ML Scientist / Data Engineer to lead algorithmic research-driven software in our logistics team in Berlin. You will drive predictive warehousing and production-ready solutions, delivering end-to-end models from research to deployment while collaborating with engineers, product owners and fellow scientists.

We value advanced degrees, hands-on experience with modern data frameworks, and the ability to translate real-world business problems into mathematical models.

Qualifikationen

• Master’s or PhD in Mathematics, Computer Science, or another quantitative field.

Aufgaben

• Drive the research, design, and implementation of algorithms and predictive models.
• ],
• CoT_job_summary_short完整版
• job_summary_short_exception

Kenntnisse

Algorithms & optimization

Distributed systems

Statistics & OR

Machine learning

Autonomy & problem solving

Cross-functional collaboration

Ausbildung

Master’s or PhD in Mathematics/CS/Quantitative field

Tools

Java

Python

Kotlin

Spark

Databricks

Microservices

Jobbeschreibung

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 that improve 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. 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

• 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 six 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

Learn all about Zalando and our values here https://jobs.zalando.com/en/?gh_src=22377bdd1us