Applied Scientist - Search & Browse

01 Dec 2021
16 Dec 2021
The ranking team is responsible for ranking products when customers browse or search the Zalando site, or app. We use a variety of recommendation and search algorithms which perform inference either at real-time or in batch to help satisfy the customers information needs. We do this at scale, serving tens of millions of customers every week.

Due to strong growth in 2020, we are embarking on an ambitious mission to build out new personalisation, page optimization and fairness ranking capabilities. We need you to join our team as an applied scientist where alongside other applied scientists and software engineers you will help us build a world class customer experience.

  • Bring in your scientific experience in researching and applying machine learning and/or deep learning based solutions to help our millions of customers discover the millions of products being sold on Zalando.
  • Autonomously or with other applied scientists, lead applied science projects from inception through to production.
  • Proactively contribute towards research roadmaps by identifying blind spots or proposing alternative solutions.

  • Undergraduate or graduate studies (MSc / PhD) in a quantitative field such as computer science, statistics, physics, economics etc.
  • Prior experience working on applied science / data science / machine learning projects which were used by end users.
  • Demonstrated knowledge and skills in data querying and transformation (SQL/Spark), statistical computing (Python/Jupyter Notebooks), machine learning libraries/frameworks.
  • An understanding of state of the art machine learning techniques (classical techniques, representation learning, neural models etc) and how they can be applied to recommendation and search problems.
  • Excellent verbal and written communication skills with a detail oriented and self-starter mindset.

Nice to have
  • Previous experience or interest in search or recommendation systems.

  • 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, 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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