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ZAZalando

Senior Principal Applied Scientist - Catalog and Search Ranking(m/w/x)

Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science

Architecting and deploying deep learning solutions for fashion product ranking and conversion. 8+ years of deep reinforcement learning experience required. 27-30 days holiday, up to 60% remote per week.

Anforderungen

  • PhD in Machine Learning, Control Theory, Operations Research, or related fields, or equivalent experience
  • 8+ years of industry experience in deep reinforcement learning, multi-armed bandits, or large-scale sequential decision-making systems
  • Experience applied to content selection, personalization, or ranking in feed-based products
  • Shaping scientific roadmap of teams in multi-area products
  • Working with senior Applied Science leaders
  • Discovering business opportunities collaborating with product, science, and engineering managers
  • Solving business problems through scientific solutions
  • Extensive track record addressing real-world problems using machine learning throughout product cycle
  • Raising department and Zalando's best practice in methods, algorithms, and technology
  • Expertise in architecture, design patterns, and research roadmaps
  • Authority on deep learning
  • Extensive track record leveraging research to advance state of the art
  • Publication records
  • Extensive hands-on experience in deep learning
  • Proficiency in Python for RL implementations
  • Proficiency in PyTorch or TensorFlow for RL implementations
  • Proficiency in cloud computing platforms such as AWS

Aufgaben

  • Address challenging fashion problems using advanced methods
  • Contribute to the scientific roadmap
  • Collaborate with scientists and engineers on machine learning products
  • Research, deploy, and architect deep learning solutions
  • Enhance customer conversion through product selection and ranking
  • Develop long-term research roadmaps aligned with business goals
  • Advise senior leadership on strategic investments
  • Mentor and guide senior scientists
  • Share knowledge within the science community
  • Partner with applied science leaders and product managers
  • Deliver state-of-the-art machine learning solutions
  • Solve complex challenges with a scientific approach
  • Communicate and align with teams and stakeholders
  • Deploy, develop, implement, test, and research ML models
  • Focus on personalisation, ranking, and recommendations

Berufserfahrung

  • 8 Jahre

Ausbildung

  • Doktor / Ph.D.

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • Python
  • PyTorch
  • TensorFlow
  • AWS

Benefits

Mehr Urlaubstage

  • 27-30 days of holiday

Sinnstiftende Arbeit

  • 2 paid volunteering days

Flexibles Arbeiten

  • Hybrid working model
  • Up to 60% remote per week

Sonstige Zulagen

  • Work from abroad allowance

Attraktive Vergütung

  • Employee shares program

Mitarbeiterrabatte

  • Employee discounts

Sonstige Vorteile

  • Relocation assistance

Familienfreundlichkeit

  • Family services

Gesundheits- & Fitnessangebote

  • Health and wellbeing options

Mentale Gesundheitsförderung

  • Mental health support

Weiterbildungsangebote

  • Training platform

Mentoring & Coaching

  • Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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