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applied scientist, eu international technologies jobs near berlin, be

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

Zalando -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 4 Tagen

Leistungen

Umzugskostenzuschuss

Qualifikationen

Google Docs
Doktorat
Informatik
Spark
Forschungserfahrung
Java
Master
Machine Learning
Softwareentwicklung
Agile
Python

Vollständige Stellenbeschreibung

Ort

Germany - Berlin

Vertrag

Full time

Job-Kategorie

Applied Science & Research

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)

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.
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

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we 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

Recruiter

Bettina Melis

[email protected]

Nach der Prüfung werden unsere Recruiter*innen über eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.

In einigen Fällen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich für eine Stelle zu bewerben oder an einem Vorstellungsgespräch teilzunehmen.

Über Zalando

Zalando wurde 2008 in Berlin gegründet und ist die führende europäische Technologieplattform für Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 Märkten. Unser Geschäft basiert auf einer einzigartigen, KI-gestützten Daten- und Infrastrukturplattform. Für unsere Kund*innen bietet unser Multi-App-Ansatz – bestehend aus Zalando, ABOUT YOU und Lounge by Zalando – ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. Für unsere Partner bauen wir das Betriebssystem für den E-Commerce. Über ZEOS, Tradebyte und SCAYLE öffnen wir unsere Logistik-, Software- und Servicekapazitäten für Marken und Einzelhändler*innen zur nahtlosen, grenzüberschreitenden Skalierung ihres Geschäfts.

Jetzt bewerben

Erweiterte Suche

applied scientist, eu international technologies Jobs in berlin, be

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Ich möchte aktuelle Job-E-Mails für Stellen als applied scientist, eu international technologies in berlin, be erhalten

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Weitere Job-Standorte erkunden

ABOUT THE TEAM

INCLUSIVE BY DESIGN

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

WE'D LOVE TO MEET YOU IF

OUR OFFER

Über Zalando

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