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Applied Scientist - Pricing Platform

As a Senior Applied Scientist in the Market Insights team, you will tackle challenging fashion problems using state-of-the-art AI methods, exploring and using large amounts of multi-modal data. You will work with a group of exceptional scientists to develop algorithms and engineer cutting-edge machine learning and data science products that enhance the experience of our +37M customers and that support our fashion experts.

  • Bring in your strong scientific experience in researching and deploying machine learning and deep learning based solutions to help our millions of customers in their inspiration journey.
  • Tackle challenging state-of-the-art fashion problems, such as competitor product matching against Zalando articles using Image or code based matching. Contribute to our scientific efforts with rigorous peer reviews and through publications in international conferences.
  • Mentor junior and mid level applied scientists. Actively collaborate with other teams and share knowledge and expertise within our talented applied science community.
  • Work closely with applied science leaders, product managers and other business stakeholders to bring our state of the art solutions to the customers and to discover and identify new opportunities.


  • PhD or MSc (or comparative experience) in Statistics, Computer Science, Mathematics, or Physics, with at least 4 years of industry experience in Machine Learning/Data Science/Deep Learning.
  • Experience building and leading complete ML products; from the problem analysis and data selection to their production deployment.
  • Great coding skills in Python and hands-on experience with ML libraries such as sklearn, TensorFlow, or PyTorch, as well as experience with Cloud Computing frameworks (e.g., AWS).
  • Deep understanding of the theory behind the state-of-the-art methods in your domain as well as a broad overview of Machine Learning and Deep Learning methods and best practices in their application


  • Culture of trust, empowerment and constructive feedback, open sourcecommitment, 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, PME family service and parent & child rooms* (*available in select locations)

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.

Zalando SE

Zalando is Europe’s leading online platform for fashion and lifestyle, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 35+ million active customers through diverse skill-sets, interests and languages our teams choose to use.

Please note that all the applications must be completed using the online form - we do not accept applications via e-mail.

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