Senior Applied Scientist - Lounge by Zalando (all genders)

Ort
Germany - Berlin
Vertrag
Full time
Job-Kategorie
Applied Science & Research

THE ROLE AND THE TEAM
As a Senior Applied Scientist in the Assortment Optimization team at Zalando Lounge, you will build machine learning and optimization products that improve one of our most critical levers: buying decisions. Your work will help determine what we buy, how much we buy, and how we holistically optimize Lounge’s assortment - with direct impact on key long-term business outcomes.

This role is ideal if you enjoy turning complex, constraint-heavy problems into scalable decision systems. You'll work end-to-end, from framing the business problem and designing the modeling and optimization approach, to deploying reliable solutions that are used in everyday buying workflows.

Importantly, algorithmic-driven buying in Lounge is still an emerging field: there is substantial white space to explore, new decision products to invent, and foundational capabilities to build. That means a rare chance to shape the direction of the domain and deliver outsized business impact early.

You will collaborate closely with Applied Scientists, Software Engineers, and commercial stakeholders to deliver decision-support solutions that are actionable, explainable, well evaluated and production-ready.

INCLUSIVE BY DESIGN
If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Design and develop forecasting and optimization models that improve buying decisions (e.g., buy quantity recommendations, assortment selection, budget allocation).

  • Own the full applied science lifecycle: ML system design, data exploration, feature engineering, model/optimizer development, evaluation, deployment, monitoring, and iteration.

  • Translate business goals and constraints into objective functions and model design

  • Build solutions that are production-ready, following software engineering best practices (testing, CI/CD, code quality, reproducibility, monitoring).

  • Partner with engineers to ensure scalable implementations and reliable integration into business workflows.

  • Proactively identify opportunities to improve the buying decisions and contribute to the product roadmap with high-impact ideas.

WE'D LOVE TO MEET YOU IF

  • You have 3+ years of experience building applied ML and optimization solutions in a business environment.

  • You are strong in Python and comfortable writing production-quality code (tests, clean architecture, CI/CD mindset).

  • You have solid foundations in machine learning, mathematical optimization and statistics (e.g., regression, classification, uncertainty estimation, causal thinking is a plus) and are an expert in one of them

  • You have experience with common ML libraries such as scikit-learn, CatBoost/XGBoost/LightGBM, PyTorch/TensorFlow, and strong data tooling skills (e.g., pandas, numpy).

  • You can communicate clearly with both technical and non-technical stakeholders and enjoy turning ambiguous problems into actionable solutions.

  • Experience in optimization / operations research (e.g., linear/integer programming, constrained optimization, heuristics, simulation) with tools like OR-Tools, Pyomo, Gurobi, or similar is a plus.

WHY THIS ROLE

  • Shape core buying decisions and drive measurable commercial outcomes, with your work having direct visibility and impact on the business.

  • Own solutions end-to-end from research and prototyping through production, ensuring they are adopted and used in daily workflows.

  • Work in a strong cross-functional, product-oriented environment alongside Applied Scientists and Software Engineers to build scalable decision tools.


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.

  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)

  • 2 paid volunteering days a year

  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration

  • Work from abroad for up to 30 working days a year

  • Employee shares program

  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners

  • Relocation assistance available (subject to prior agreement)

  • Family services, including counseling and support

  • Health and wellbeing options (including Wellhub, formerly Gympass)

  • Mental health support and coaching available

  • Drive your development through our training platform and biannual peer-to-peer review

ABOUT LOUNGE BY ZALANDO

Lounge by Zalando is an online outlet for fashion and lifestyle products in 20+ European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Lounge by Zalando is so much more than discounts. Our strength lies in our focus on fashion and lifestyle brands: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.
https://www.zalando-lounge.de

Recruiter

Benan Ababay

benan.ababay@zalando.de

Bitte beachten, dass alle Bewerbungen auf dieser Seite über das Online-Formular erfolgen müssen – wir akzeptieren keine Bewerbungen per E-Mail. 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. 

Wenn du Fragen zu unserem Rekrutierungsprozess hast, wirf bitte einen Blick auf unsere FAQ-Seite.

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.

Erfahre mehr über unsere Kultur