As a member of the Methods & Tools team you will develop and implement solutions for various complex problems in the field of
renewable energies for meteorological and energy yield specific analyses and processes, such as for wind data processing and
analysis, wind field analysis, wake analysis, yield estimation, etc.
Your tasks
Independent development and coordination of digital solutions, tools and new approaches for complex problems in the field of wi... Visa mer
As a member of the Methods & Tools team you will develop and implement solutions for various complex problems in the field of
renewable energies for meteorological and energy yield specific analyses and processes, such as for wind data processing and
analysis, wind field analysis, wake analysis, yield estimation, etc.
Your tasks
Independent development and coordination of digital solutions, tools and new approaches for complex problems in the field of wind field simulation, yield estimation, wind data processing and preparation and in order to leverage big data or automate routine processes
Facilitate innovation in a way to improve project specific applications and for application across the whole of resource assessment
Collaboration with and coordination of relevant stakeholders such as Digital Transformation, Asset Information Management, external programmers with the aim of fostering continuous improvement and innovation in a cross departmentat context Coordinate and facilitate resource assessment related improvement initiatives
Coordinate and facilitate resource assessment related improvement initiatives
Independent development and optimization of processes and workflows as well as their implementation with the aim of ensuring and increasing cross-departmental consistency
Your profile
University Degree in Physics, Meteorology, Mathematics, Data Science or related with at least 8 years relevant professional experience.
Good understanding of object oriented programming either in Python, Matlab, C# or C++
Advanced script skills either in Python, R, Matlab, C# or C++ coupled with advanced skills in wind data processing
Very good understanding in IEC-61400-12 measurement requirements and of met mast, lidar installation, maintenance, and decommission processes
Database skills (database design and ) and Data science knowledge (supervised learning, neural networks, and time
series forecasting)
Statistical knowledge in resampling methods, probability distributions, confirmatory data analysis, and data modelling fitting coupled with understand of wind data analysis
Energetic, motivated, organized, proactive with a forward looking mindset
Good communication skills in English both spoken and written
Our offer
Variety of personal development opportunities through internal and external trainings
International dynamic team with a great culture and one great thing in common: the passion for Renewable Energy
Opportunity to introduce new ideas to improve existing processes or set up new tools and methods
Professional growth and good networking opportunities
Global projects and travel opportunities
Any questions? Contact in Recruiting manager Sebastian Leithold:
Sebastian Leithold, T: +49-162-2500448
Visa mindre