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

Das ist der Job

INCLUSIVE BY DESIGN At the company, our vision is to be inclusive by design.

Darum lohnt es sich

Ort Germany - Berlin, Vertrag Full time, Job-Kategorie Applied Science Research Machen Sie jetzt den nächsten Schritt in Ihrer Karriere, scrollen Sie nach unten, um die vollständige Stellenbeschreibung zu lesen und bewerben Sie sich.

ABOUT THE TEAM As a Senior ML Scientist / Data Engineer, you will drive algorithmic research-driven software development in a logistics team. 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.

OUR OFFER the company provides a range of benefits, here’s an overview of what you can expect. At the company, 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.

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: /en/our-impact/dobetter-our-diversity-and-inclusion-strategy Our employee resource groups: /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 . 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. 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 the company, 30% off the company 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 Nach der Prüfung werden unsere Recruiter*innen über eine offizielle the company E-Mail-Adresse (@the ) 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 the company noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich für eine Stelle zu bewerben oder an einem Vorstellungsgespräch teilzunehmen.

Über the company the company 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 the company, ABOUT YOU und Lounge by the company – ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis.

Für unsere Partner bauen wir das Betriebssystem für den E-Commerce. xayajpt Über ZEOS, Tradebyte und SCAYLE öffnen wir unsere Logistik-, Software- und Servicekapazitäten für Marken und Einzelhändler*innen zur nahtlosen, grenzüberschreitenden Skalierung ihres Geschäfts.