Data Scientist  

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

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