Nejo Logo
Jobs finden
nach Anstellungsart

Finde Jobs nach Arbeitszeit

  • Geringfügige Jobs
  • Teilzeit Jobs
  • Lehrstellen
  • Praktikumsplätze
nach Stadt

Jobs in deiner Nähe finden

  • Jobs in Wien
  • Jobs in Graz
  • Jobs in Linz
  • Jobs in Salzburg
  • Jobs in Innsbruck
  • weitere Städte
nach Beruf

Erkunde Jobs nach Berufsfeld

  • Fahrer Jobs
  • IT Jobs
  • Feuerwehr Jobs
  • Hausmeister Jobs
  • Vertrieb Jobs
  • weitere Berufe
nach Erfahrungslevel

Jobs passend zu deiner Erfahrung

  • Quereinsteiger Jobs
  • Berufseinsteiger Jobs
  • Manager Jobs
nach Arbeitsweise

Wähle deine bevorzugte Arbeitsweise

  • Remote Jobs
  • Home Office Jobs
Studenten
Schüler
Blog
Jobs finden
nach Anstellungsart

Finde Jobs nach Arbeitszeit

  • Geringfügige Jobs
  • Teilzeit Jobs
  • Lehrstellen
  • Praktikumsplätze
nach Stadt

Jobs in deiner Nähe finden

  • Jobs in Wien
  • Jobs in Graz
  • Jobs in Linz
  • Jobs in Salzburg
  • Jobs in Innsbruck
  • weitere Städte
nach Beruf

Erkunde Jobs nach Berufsfeld

  • Fahrer Jobs
  • IT Jobs
  • Feuerwehr Jobs
  • Hausmeister Jobs
  • Vertrieb Jobs
  • weitere Berufe
nach Erfahrungslevel

Jobs passend zu deiner Erfahrung

  • Quereinsteiger Jobs
  • Berufseinsteiger Jobs
  • Manager Jobs
nach Arbeitsweise

Wähle deine bevorzugte Arbeitsweise

  • Remote Jobs
  • Home Office Jobs
StudentenSchülerBlogNejo LinkedIn

Applied Scientist(m/w/x)

Zalando
Berlin

You will use your machine learning expertise to develop impactful models and solutions while collaborating with cross-functional teams and engaging with the data science community to drive innovation.

Anforderungen

  • •Ph.D. or M.Sc. required
  • •4 years of working experience
  • •Great coding skills in Python
  • •Java and/or Scala coding skills
  • •Hands-on experience with TensorFlow
  • •Experience with cloud computing frameworks
  • •Deep understanding of deep learning theory
  • •Overview of machine learning methods

Deine Aufgaben

  • •Solve real-life ML use cases impacting millions of customers.
  • •Design and implement scalable models and data pipelines.
  • •Create an incremental delivery plan for team use cases.
  • •Collaborate with product managers, designers, and engineers.
  • •Stay updated on recommender systems and contribute to data science events.

Deine Vorteile

Culture of trust and empowerment
Competitive salary
Employee share shop
Zalando shopping discount
Discounts from external partners
Centrally located offices
Public transport discounts
Municipality services
Great IT equipment
Flexible working times
Additional holidays
Volunteering time off
Free beverages
Diverse sports and health offerings
Extensive onboarding
Mentoring opportunities
Personal development opportunities
International team of experts
Relocation assistance for internationals

Original Beschreibung

# Applied Scientist (All Genders) **Berlin** | **Full time** The Fashion Recommendations Team is at the core of Zalando’s browsing experience and fashion discoverability. Our purpose is to play a key role in making Zalando the starting point of fashion by providing recommendations that meet our customers’ fashion needs and wishes while understanding their unique style, preferences and interests. As part of the larger Search and Recommendations department, you will work with colleagues in Search to optimize the customer journey to drive commercial impact by developing new recommendations and optimizing current ones. As an Applied Scientist, you will: design ML/AI solutions that serve our customers’ needs; build data pipelines and models using, for example, AWS, Python and TensorFlow; define hypotheses and A/B test them to validate your use case; and deploy solutions into production to serve more than 52 millions of customers. You will focus on new state-of the art solutions, such as LLM-based recommendations, to elevate the impact of Recommendation use cases and devise new opportunities to guide the customer down the purchase funnel. You will be part of a talented cross-functional team made up of Applied Scientists, Data Engineers and Backend Engineers. You will also count with the support of Product Managers and Designers to create the customer experience that you will deliver. **WHERE YOUR EXPERTISE IS NEEDED** * Apply your expertise to solve real-life ML use cases that impact millions of customers * Design and implement models and data pipelines that scale up to serve thousands of requests per second during Black Friday * Contribute to the team’s roadmap by creating an incremental delivery plan for our use cases * Work together with product managers, designers, and engineers to deliver impactful solutions that change the way our customers buy fashion * Keep up to date with the state of the art in recommender systems and contribute to the data science community both internally in Zalando and externally in meetups and conferences **WHAT WE’RE LOOKING FOR** * Ph.D. or, M.Sc. and 4 years of working experience * Great coding skills in Python, Java and / or Scala, and hands on experience with TensorFlow and cloud computing frameworks * Deep understanding of theory behind the state of the art methods in your domain (deep learning, LLM-based recommendations) as well as a broad overview of machine learning methods and best practices. **PERKS AT WORK** * Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events * Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings * Extensive onboarding, mentoring and personal development opportunities and an international team of experts * Relocation assistance for internationals *We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.*
Lade Jobdetails..
Über UnsProdukteKontaktImpressumDatenschutzNutzungsbedingungenCookie-Einstellungen
© 2025 Nejo
© 2025 nejo jobs