Job description: its not just that our toys are cool, which they are, its that our tech can benefit the environment and can change the world we work in. Its that the work you do here is unbelievably unique and incredibly rewarding. We make the unpredictable, predictable and we do it by bringing data, materials science, physics, and software together. We build physics-based, Digital Clone models that predict and improve the lifespan of rotating machine parts from wind turbines to helicopters to the rail tracks. Our models reduce costs through prognostics. The opportunity: Were looking for a Wind Energy Data Scientist to expand our engineering data analytics team. Ideal candidate is someone with subject-matter expertise related to wind turbines or similar industrial devices and solid experience as a data scientist to (a) curate, analyze and extract features from large repositories of quality-controlled wind turbine operational data time-series and event logs (b) develop and implement ML/AI algorithms using such features to help improve our physics-based predictive models. The ideal candidate should be humble and passionate and very comfortable working with smart and driven Data Scientists and Mechanical Engineers to collaboratively build cutting-edge tools.
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