Berlin is considered by many to be the most extraordinary city in Europe. With its fascinating history and the diversity of its inhabitants, the city has developed an unmistakable character. When we went in search of attractive real estate with our first customers in 1985, we couldn't even imagine what would become possible in this city. Since then, we've had the great pleasure of doing what many others would love to do more often: finding a new home in Berlin again and again. For you!
For us, a property is not measured in square meters or an address. For us it's a space, a place to live, sometimes even a work of art, but above all: a home. A place that should allow you to be happy.
ZTech is the new tech department of the Ziegert Group. We are a young, international and dynamic team with ambition to grow. Our mission is to jointly develop innovative solutions in the areas of Tech & IT for a modern real estate industry and the residential quarters of the future. In doing so, we rely on team spirit, enthusiasm for digital solutions and an open, progressive culture. The Ziegert Group includes the real estate company Ziegert EverEstate GmbH, the project developer INCEPT GmbH and the human proptech METATRUST. Do you want to learn more about our company? Then feel free to visit our website at tech.ziegert-group.com
We are looking for a talented data scientist to join our Engineering Chapter and be a member of one of our cross functional squads focusing on our data products within the real estate industry. With your educational background in mathematics or applied statistics, you will help us build statistical data models using a variety of modelling techniques with a focus on NLP in the field of machine learning to provide unique data insights for our customers.
You are part of a highly motivated international start-up team of currently 20 professionals and continuing to grow (over 30 by the end of 2021). We are embedded in the Ziegert Group with 35 years of experience in the industry. With us, you have the opportunity to learn an above-average amount (steep learning curve), to directly apply what you have learned (personal responsibility), to work together in interdisciplinary transaction projects (flat hierarchies), to help shape the digital transformation of the industry (innovative strength) and to rethink the topic of global real estate transactions (disruption).
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