Solar Analytics Applied Scientist Role

Join Swish Solar in Waterloo, Ontario, as an Applied Scientist focusing on solar performance analytics. This full-time position is ideal for leveraging Python and machine learning to drive proactive solar asset management.
You will work closely with the R&D team to build reliable algorithms that analyze solar farm data. Your efforts will help identify energy losses, enhance soiling detection, and optimize maintenance actions. Effective collaboration with software engineers will be crucial in deploying your models into production pipelines and customer-facing applications.
Key Responsibilities:
• Design and maintain solar data pipelines for analysis
• Develop models for performance and soiling detection
• Implement model-monitoring and validation techniques
• Collaborate on developing APIs and dashboards
Requirements:
• Proficiency in Python and relevant ML libraries
• Background in time-series modeling and anomaly detection
• Experience with handling imper...