Zalando SE
USA
At Zalando, our vision is to be the Starting Point for Fashion. We want to offer a shopping experience that is characterized by trust, for our more than 50 million customers in 25 markets across Europe, and also for our +6,500 partner brands. To maintain this trust, it is vital for us to manage transactional risks that originate from abusive behaviors on our fashion platform. With 3.3 million shopping items, resulting in hundreds of thousands of orders every single day, we use big data and advanced methods from machine learning to predict and mitigate such risks and ensure trustful relationships with our customers and partners. As a full-stack applied scientist in our Transactions Risk Management department you will have the opportunity to join a dynamic and diverse group of 15-20 scientists and engineers. As an analytics team, we are responsible for several predictive services running in Java, Python, AWS, and Kubernetes to safeguard other teams in the checkout domain at...