The Data Scientist provides assistance essential to drive advanced analytics initiatives, ensuring data-driven insights and improved decision-making.
Trader's Short-Term Forecasting (STPF) management
- Retrain traders' 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
- Maintain the necessary databases and computing environments to iterate on forecasts effectively
- Document forecasting methodologies, model assumptions, and version histories to support transparency and reproducibility
Customer Analytics as a Service
- Extract and transform data from the enterprise data warehouse to conduct exploratory data analysis (EDA) and deep-dive analytics on customer energy consumption, billing, and other key energy attributes to identify trends, anomalies, and opportunities.
- Develop and implement advanced analytical models and techniques to generate actionable insights from customer data.
- Build and maintain reports and dashboards to support energy analytics solutions for various customers.
Special Projects
- Address predictive and prescriptive analytics requirements as needed for upcoming initiatives.
- Explore Big Data Analytics (EDA) and utilize diverse data sources to enhance profiling and forecasting for both commercial and residential buildings and other customer profiles
- Assist in developing data models to support energy-related analyses d. Assist in building and maintaining automated data pipelines for customer data analysis
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 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 8. High level of personal integrity, dependability, and initiative
