Data Scientist

Responsibilities

• Forecasting Management & Integration Pipeline Orchestration: Design and maintain automated data pipelines using integration tools to ensure seamless data flow between platforms and the Forecasting environment.
• Model Productionalization: retrain and deploy traders' Short Term Forecasting (STPF) model on demand on an ongoing basis.
• Monitor model performance through key metrics (e.g., MAPE, RMSE) and implement enhancements to improve forecast accuracy and reliability.
• Document forecasting methodologies, model assumptions, and version histories to support transparency and reproducibility.
• Customer Analytics Extract/Transformation: Utilize Extract Transform Load (ETL) tools to process, cleanse, and transform complex customer energy consumption data during the integration process.
• Actionable Insights: Develop advanced analytical models to identify trends and anomalies, translating raw pipe data into high-level ...