Your responsibilities as Industrial Data Engineer will be:
- You'll apply your knowledge of industrial systems and data analytics to research and design an innovative Industrial Internet of Things platform. You’ll use your overview over the entire system to interface with relevant stakeholders, coordinate activities to search for unattended industrial problems and ignite solution-oriented discussions within the team. You will be modeling industrial systems for optimized management, including logistics, planning, and production optimization.
- You will use your modeling and data analytics knowledge to research and implement algorithms that address users’ requirements. It is expected that you will collaborate closely with academic institutions acting as interface with external research partners.
- You’ll have the opportunity to use your ability to understand the context behind the data and use your curious mindset to search for solutions for real-life problems being in close contact with the users for your solutions.
- You will create the foundation of a new, cutting edge, IoT platform for industrial applications.
Requirements
What distinguishes you:
- Master in Computer Science, Data Science, SW Engineering, Electrical Engineering or Applied Mathematics
- Knowledge in Python applied with data analytics
- Familiarity with systems modeling and data analytics. Able to understand problems and translate them in data architectures and automate data analysis pipelines.
- Knowledge with structured databases (SQL) and familiarity with unstructured databases
- Knowledge on machine learning algorithms, ML libraries and algorithm performance assessment
- Enjoy user research and problem exploration
- Familiarity with IoT systems and cloud computing
- Team player with excellent communication skills
- Very good English communication abilities
Notifications about similar jobs
Get notifications to your inbox about new jobs that are similar to this one.
No spam. No ads. Unsubscribe anytime.
Similar jobs