Advanced/Masters degree in one of the following fields: Computer Science, Mathematics, Physics, Engineering, or related. A PhD is considered a plus.
Hands-on experience in the field numerical simulations, data science, or machine learning
You have excellent analytical skills and profound expertise in statistical modelling (e.g. uncertainty quantification, failure analysis, maximum likelihood estimation)
You have experience with reliability analysis, lifetime modelling and failure mechanisms (e.g., Weibull analysis)
You demonstrate excellent programming skills (e.g. Python, C/C++, R)
Good to have: Experience in an industry-related environment (e.g. energy sector).
You are an excellent team player and like to work in multi-disciplinary teams.
You have a strong customer focus and excellent communication skills along. You navigate easily in a global & multicultural environment.
You are open-minded and willing to learn and constantly improve own skills
You are passionate about data and analytics, and driving data value across all parts of an organization and ecosystems
You have excellent writing and communication skills in English, knowledge of any other language is a plus
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