Data Analyst with Wind Energy Background

Ventus Group

Data Analyst with Wind Energy Background

Ventus Group

Vienna, Austria

COMPANY

Ventus Group is a global wind turbine service provider enabling off and onshore wind farm owners to increase asset production and returns while driving down the risk and cost of energy.

The multinational team of highly specialized professionals from over 16 countries can identify and analyze possible scenarios to recommend the best solution unique to meet client objectives.

The wide range of innovative products and services includes Rotor Condition Monitoring, Drone Inspections, LiDAR Measurements, Static and Dynamic Blade Pitch Verification, End-of-Warranty & Taking-Over inspections (EOW & TO) and Dissolved Gas Analysis.

We are looking for a R&D Data Analyst (Wind Energy background) (m/f) to join our office in Vienna.

YOUR MAIN FOCUS

Research & Development on our TripleCMAS solution. This patented solution consists of installing wireless accelerometers inside the turbine and use the rotor as a measuring tool.

The TripleCMAS solution is aiming at providing a condition monitoring (Blade pitch misalignment, yaw misalignment and many more) as well as an alarm system (Rotor overspeed, Icing, Raining events and many more) for any type of Wind Turbines in the world.

Find out more here: https://ventus.group/triplecmas-rotor-monitoring-system.

YOUR TASKS

  • Design and build ideas on how to use the TripleCMAS data to detect features of interest (Turbine condition, Turbine behavior, Meteorological conditions etc., …);
  • Research and design statistical models for time series analysis and signal processing;
  • Select features, build, and optimize algorithms using cutting-edge techniques;
  • Compare your TripleCMAS algorithms & results using state-of-the art equipment (Nacelle-based LiDARs, Rain detectors, etc.);
  • Process, clean and verify the integrity of the data used in the analysis;
  • Do ad-hoc analysis and present results in a clear manner;
  • Communicate and present the analysis results of our products and services to international stakeholders (e.g., OEM, component developers and wind farm owners).

YOUR PROFILE

  • Master’s degree in Data Science, Wind Energy, Mathematics, Statistics, Computer Science, or related fields;
  • Good programming skills and experience with common data science and analysis tools (Python is preferred);
  • Experience in the field of renewable energy, and specifically in wind turbines is mandatory;
  • Knowledge in using query languages, such as SQL;
  • Experience in vibration analysis is a strong advantage;
  • Experience with Big Data Techniques or Machine Learning algorithms is a plus;
  • Curious, able to adapt, resourceful, good communication skills, problem solving attitude;
  • Team player who can work independently;
  • Good spoken and written English (German is not mandatory, but appreciated).

WE OFFER

  • Dynamic work position in Vienna in a fast-developing company and team;
  • Possibility for a rapid professional development, training, and certifications;
  • Culturally diverse work environment;
  • Possibility to work remotely;
  • Possibility to apply for a grant to cover the relocation costs of maximum €2000;
  • We remunerate your performance with a minimum salary of € 42.000 gross per year (based on 38.5 hours/week), paid in 14 installments. We offer an overpayment in accordance with your previous work experience and qualifications.

Please send your application documents (mandatory a CV in English) directly through the LinkedIn online application, or submit your CV at jobs@ventus.group mentioning the position you apply for in the subject. Please use only ONE submission method.

CONTACT

Ventus Engineering GmbH
Simmeringer Hauptstraße 101/1-6/327, 3rd Floor
1110 Vienna, Austria
www.ventus.group
jobs@ventus.group

Don't forget to mention EuroScienceJobs when applying.

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EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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