Senior Applied Scientist (all genders)

Zalando
Anywhere
Full timeFunction: Research & Scientific (R&D)Experience: 6+ yearsSkills: ["Mentorship","Collaboration","Scientific rigor","Leadership","Cross-functional communication"]

Build and scale deep learning and reinforcement learning models for real-time content personalization across Zalando discovery surfaces, including the Home Feed. Own multi-objective ranking, allocation, and economic trade-off modeling to balance short-term conversion with long-term engagement and monetization. Partner with Principal Scientists, Data/ML Engineers, and Product to productionize solutions, lead experimentation through rigorous A/B testing, and help advance research roadmaps at scale.

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Zalando
Zalando
2 days ago

Senior Applied Scientist (all genders)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and scale deep learning and reinforcement learning models for real-time content personalization across Zalando discovery surfaces, including the Home Feed. Own multi-objective ranking, allocation, and economic trade-off modeling to balance short-term conversion with long-term engagement and monetization. Partner with Principal Scientists, Data/ML Engineers, and Product to productionize solutions, lead experimentation through rigorous A/B testing, and help advance research roadmaps at scale.
Location: Anywhere
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop and deploy state-of-the-art Deep Learning and Reinforcement Learning models for real-time content delivery algorithms on high-traffic surfaces.
  • •Formulate and solve multi-objective ranking and allocation problems at scale to optimize dynamic trade-offs between conversion, engagement, and monetization.
  • •Contribute to long-term research roadmaps for personalized content discovery and ranking by translating business and governance goals into scientific work.
  • •Partner with Principal Scientists, Data/ML Engineers, and Product Managers to deliver ML solutions into production while managing technical uncertainty.
  • •Mentor and act as a technical sparring partner by advocating for rigorous experimental methodologies and contributing to Zalando’s science community.

Pay and Benefits

Perks:EquityPaid LeaveRelocationGym MembershipLearning Budget

Key Requirements

  • •Advanced degree (M.Sc. or Ph.D.) or equivalent industry experience in Machine Learning, Applied Economics, Econometrics, Computer Science, Statistics, or a related quantitative field.
  • •6+ years of applied science experience taking AI/ML solutions from ideation and research to large-scale production, with a strong publication record.
  • •Deep hands-on expertise in Deep Learning, Recommender Systems, Reinforcement Learning/Bandits, Multi-Objective Optimization, and Causal ML, plus experience designing and evaluating A/B experiments.
  • •Leadership in shaping scientific roadmaps and collaborating across Product, Science, Engineering, and senior leadership to identify business opportunities and solve complex problems.
  • •Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch), with experience using AWS to build and scale production recommender and ranking engines.
Experience:6+ yearsE-commerceFashionAdvertisingLogistics
Skills:MentorshipCollaborationScientific rigorLeadershipCross-functional communication
Tech Stack:PythonTensorFlowPyTorchAWS

Company Brief

Zalando
Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2008
WebsiteLinkedIn