Principal Applied Scientist - Personalization and recommendations, Machine Learning and Deep Learning (all genders) | Berlin, Germany | Zalando SE

Position:	Principal Applied Scientist - Personalization and recommendations, Machine Learning and Deep Learning (all genders)
Institution:	Zalando SE
Location:	Berlin, Germany
Duties:	Bring in your strong scientific experience in researching, deploying, and architecting machine learning (ML) and deep learning (DL) based solutions in areas such as recommendations to help our millions of customers in their inspiration journey. Work across teams to create a state-of-the-art science stack that enables the product strategy and is a driver of ML architecture and design principles; Develop scientific roadmaps to tackle challenging fashion problems with state-of-the-art solutions and to keep us innovative. Contribute to our scientific efforts with rigorous peer reviews and through publications at international conferences
Requirements:	PhD or MSc (or comparative experience) in Computer Science, Mathematics, Statistics or Physics, with 6+ years of industry experience, with extensive experience within personalization, recommendations, ranking and machine learning and especially deep learning; Experience developing long term research roadmaps and applying the scientific method to tackle research problems. Strong drive to partnering with product and science/engineering managers to connect and solve business problems with scientific solutions

Text:	Principal Applied Scientist - Personalization and recommendations, Machine Learning and Deep Learning (all genders) Bring in your strong scientific experience in researching, deploying, and architecting machine learning (ML) and deep learning (DL) based solutions in areas such as recommendations to help our millions of customers in their inspiration journey. Work across teams to create a state-of-the-art science stack that enables the product strategy and is a driver of ML architecture and design principles; Develop scientific roadmaps to tackle challenging fashion problems with state-of-the-art solutions and to keep us innovative. Contribute to our scientific efforts with rigorous peer reviews and through publications at international conferences PhD or MSc (or comparative experience) in Computer Science, Mathematics, Statistics or Physics, with 6+ years of industry experience, with extensive experience within personalization, recommendations, ranking and machine learning and especially deep learning; Experience developing long term research roadmaps and applying the scientific method to tackle research problems. Strong drive to partnering with product and science/engineering managers to connect and solve business problems with scientific solutions