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

Please refer the Job description for details