Data Scientist in Power Electrical Systems - Paris - Kraken

    Kraken
    Kraken Paris

    il y a 2 jours

    Description

    Data Scientist in Power Electrical Systems

    Help us use technology to make a big green dent in the universe Kraken Grid is a technology company focused on creating a smart, sustainable energy system. We build a grid monitoring and analytics platform that supports grid operators and utilities, providing full grid visibility and real‑time monitoring services such as fault management, power quality, and power flow modelling.

    What you'll do

    • Design, implement, and test innovative computer science solutions applicable to power systems from the transmission network to electrical distribution grids
    • Develop and test power system algorithms for custom projects
    • Write technical requirements and specification documents for product development
    • Implement the core algorithm in Kraken Grid solutions

    What you'll need

    • PhD or master's in electrical power systems engineering, with at least 3-5 years of work experience
    • Hands‑on and analytical approach to work
    • Curious, eager to learn. Initiative spirit, self‑organized and attentive to detail
    • High analytical mind to solve complex issues. Synthetic thinking to design clean solutions
    • Hands‑on and demonstrated ability to work as part of a team
    • Excellent written and oral communication skills in English (French is a plus)
    • Excellent knowledge and analytical analysis of electrical power distribution grids
    • Experience in performance evaluation of algorithms applied to power systems
    • Expert in programming in Python – other languages can be a plus
    • Experience in FastAPI micro‑services development is a plus
    • Knowledge using Git and Linux are desirable

    If this sounds like you then we'd love to hear from you.

    As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. We may use artificial intelligence (AI) tools to support parts of the hiring process, but final hiring decisions are ultimately made by humans.


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