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 implements 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 business intelligence.
- Visualization: Build and maintain dashboards to monitor both data accuracy and integration health.
Special Projects:
- Big Data Exploration: utilize diverse data sources to enhance profiling and forecasting for both commercial and residential buildings and other customer profiles.
- Scalable Modeling: Assist in developing data models that support energy-related analyses while ensuring the architecture is future-proof and scalable.
Qualification Requirements:
- Bachelor's degree, preferably in Data Analytics or Data Science or equivalent
- At least 2 years of relevant work experience.
- Must be proficient in the use of Microsoft Office(Excel, Word and Powerpoint) and Google Workspace (GDocs, GSheets, GSlides).
- Experience with Python and machine learning libraries (e.g. scikit-learn.
- Experience with Tableau, Google Cloud Platform, Talend and Snowflake, iPaaS solutions such as MuleSoft or Workato is a plus.
- Creative, self-disciplined and capable of identifying and independently completing critical tasks, with a sense of urgency.
- Excellent communication skills, both written and verbal, with technical and non-technical audiences.
- High level of personal integrity, dependability, and initiative.
