Renewable Energy Data Scientist (Mumbai)

Performance Ratio (PR) Tracking: Monitor and analyze the PR and Capacity Utilization Factor (CUF) for MW-scale plants, ensuring they meet contractual obligations. - Deep Data Analytics: Use Python, R, or advanced MS Excel/Google Sheets to analyze large datasets from SCADA systems to identify degradation trends or equipment underperformance - Lost Energy Attribution: Calculate energy losses specifically due to grid downtime, clipping, soiling, and thermal effects to provide a clear \"Actual vs. Theoretical\" generation gap analysis. - Forecasting & Modeling: Use PVSyst or Meteonorm data to create generation forecasts and compare real-time data against weather-adjusted benchmarks. - Soiling Analysis: Analyze soiling losses to optimize cleaning cycles for MW-scale sites, balancing cost vs. generation gain. - Reporting: Prepare high-level technical reports for stakeholders, highlighting monthly generation health and proposing corrective actions for system-level inefficiencies. Qualifications and Skills - Education: B. Tech/M. Tech in Electrical Engineering, Data Science, or Renewable Energy. - Experience: Minimum 7 years, specifically in solar data analytics or performance engineering for MW-scale plants. - Software Proficiency: Expert level in MS Excel and SCADA systems. Proficiency in PVSyst and data visualization tools (like Power BI or Tableau) is preferred. - Technical Knowledge: Deep understanding of PV system, inverter efficiency curves, and different losses. - Analytical Mindset: Ability to diagnose complex issues like PID (Potential Induced Degradation) or string-level mismatch from remote data. - Location: PAN India (Bhopal/Mumbai preferred) What We Offer - A chance to work on large-scale utility assets within a quick-growing, mission-driven company. - Competitive salary, health insurance, and specialized technical training programs. - A collaborative environment that values data-backed d .