Wind Turbine Performance Analyst optimizing performance using Python and AI-driven diagnostics for renewable energy installations. Collaborate with teams to improve predictive maintenance and performance analysis.
Responsibilities
Developing and maintaining Python-based tools to analyze and interpret AI algorithms, ensuring alignment with domain-specific insights.
Providing recommendations and prototypes to improve the current version of predictive services to ensure product evolution
Translating AI results into actionable insights and technical recommendations, supported by robust code and domain understanding.
Collaborating with cross-functional teams and participating in client meetings to support the team in engineering discussions.
Creating scripts and automated checks to monitor performance and ensure the quality of related modules within the platform.
Requirements
Minimum a bachelor’s degree in a technical field such as engineering, data science, or similar
Proficient coding skills with Python to conduct comprehensive data analysis
Experience in the wind energy sector, ideally in areas such as asset management, O&M, performance analysis, engineering, EPC, or technical roles within onshore or offshore wind projects
Familiarity with wind turbine components, key performance metrics, and SCADA systems for data acquisition and monitoring
Excellent communication skills and the ability to convey complex technical concepts in a clear and precise manner
Fluency in English (written and spoken).
Benefits
Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
Receive guidance from colleagues through coaching, mentoring and participating in international networks,
Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
List of country specific life style benefits, just to mention: life and health insurance, pension plan, flexible work schedule, training etc.
Be part of a world growing and renowned organization with origins dating back to 1864.
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