Data Scientist (Data Analyst, Python, Cloud)

• 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.)