Your mission:
As a Senior Data Scientist in our Strategic Development team, you will:
- Design, develop, and implement machine learning models for renewable energy, forecasting and performance optimization,
- Lead initiatives to improve our machine learning simulation systems, and replace legacy components with modern ML frameworks,
- Develop innovative approaches for anomaly detection, soiling detection, and predictive maintenance in renewable energy systems,
- Research and implement advanced time series forecasting techniques, to improve forecast quality and accuracy,
- Create solutions for loss breakdowns and component health assessment, to identify underperforming elements,
- Develop methodologies for automatic NWP (Numerical Weather Prediction) model selection, and dynamic settings for physical simulations,
- Integrate weather pattern analysis with asset performance, to enhance maintenance scheduling,
- Support the development of a centralized data analytics platform for internal and customer use,
- Collaborate with software engineers to deploy models to production and ensure code quality,
- Optimize machine learning workflows for better computational efficiency and scalability,
- Mentor junior team members, and share technical knowledge through code reviews and knowledge transfer sessions,
- Establish best practices and documentation for data science workflows.