Data Scientist

at  Fluence Energy

Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visit fluenceenergy.com.

Develop advanced analytics, metrics, KPIs, and alerts using operational data from batteries and renewable assets to evaluate performance and identify components with potential performance issues.
Build, train, and maintain ML / AI models for applications such as anomaly detection, forecasting, and predictive maintenance.
Assist in creating reports that use insightful visualizations to present the metrics and outputs of data-driven models, providing customers with a clear overview of their assets.
Collaborate effectively with cross-functional teams to understand requirements, build robust data-driven models, and ensure seamless integration into the Nispera platform.