Zalando is Europe's leading online fashion platform for men, women and children. The 1000 members of Zalando's tech team are passionate about the work we do and the technologies we use to get things done, and we love to share our enthusiasm with the rest of the world. Join our Meetup group to receive news about the technical talks, workshops, and other events that we host at our Tech HQ near Alexanderplatz. Some of the topics and technologies that our team and guest speakers are likely to talk about: Scala, Python, Java, open source, Swift, Android, product/UX, React, Docker, AWS, machine learning, PostgreSQL, APIs, agile development and methodologies, and the cloud. Sure, that's a long list--but Zalando is quite a complex operation!
Zalando Tech is embarking on an exciting new chapter in its evolution. We've recently launched Zalando Research – an endeavour to place Zalando at the forefront of cutting-edge research, to complement our already strong foothold on technology. Why are we doing this? We already boast great researchers at Zalando Tech, so we want to give them an outlet where they can be better organised and aligned. We also want to have a greater impact in the tech research community, especially in the fields of data science, machine learning, and artificial intelligence (AI).
As our work and investment in Data Science and AI continue to grow, we've added to our recent good news on the hiring front here at Zalando Tech. Now that he's fully onboarded, we'd like to introduce Alex Rahin, our new VP of Data and Machine Learning Platforms. Alex joins us with extensive product experience from Amazon, Microsoft, Intel, and several technology startups. He is responsible for Zalando Tech's Core Data Platforms and Applications, such as Data Infrastructure, Machine Learning, Business Intelligence, and Web Analytics. We wanted to share more about his role and what his future endeavours will entail for Zalando in the world of Data Science.
Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand. The Pricing and Forecasting team uses cutting edge technology, data science and machine learning to forecast demand and pricing with a focus on business and customer experience. Partnerships happen with the machine learning research team, all key engineering and product teams, business and customer experience teams. As a Research Engineer in the Predictive Buying team, you will be working on some of our key critical business problems and challenges.