Data Scientist

• Design and implement large-scale data solutions using Cloud technologies
• Implement and manage ETL processes, data transformations, data flows and service APIs
• Work with data virtualization, integration, and analytics technologies on our data platform
• Execution of analysis in the area of production and analytics
• Development of Machine- and Deep Learning solutions in the smart factory area
• Work in interdisciplinary, cross-functional teams according to agile methodology
• Closely collaborate with divisional business organizations, digitalization, and IT functions
• In addition to the duties listed above, the position holder must carry out tasks assigned by his supervisor that are essentially related to his duties.

• Bachelor or master’s degree in computer science, statistics, engineering or related area 
• Relevant work experience (>5 years) in the field of quantitative analytics or machine learning in the context of the manufacturing industry 
• Hands-on experience with applying machine learning algorithms and optimization techniques, as well as a profound understanding of the mathematical concepts of these algorithms 
• Good programming skills with Python 
• Familiarity with modern tech stacks and ecosystems (e.g. ML Ops) 
• Familiarity with Cloud platforms e.g. AWS, Azure, Google Cloud 
• Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop 
• Good communication skills and experiences in an agile work environment 

The followings skills are considered as a plus and potential candidate differentiators: 
• Proficiency in database and system administration (Linux, Windows) 
• Experience with data virtualization architectures and platforms (e.g., Denodo) 
• Experience with data warehouse design and development 
• Know-how and practical experience with IoT, machine connectivity and messaging infrastructure (nats.io, e.g.) 

• Degree: Bachelor
• Age: Unlimited
• Working time: Permanent