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Load Forecasting Modeler
Houston, TX 77002 | Work from home flexibility
Job Description
Responsibilities include:
- Data Management/Analysis: Utilize load, weather data, and economic data to incorporate into load forecasting models.
- Model Development: Build and maintain forecasting models (regression, neural networks, machine learning) to predict demand across different timeframes (short-term, long-term) and trends.
- Weather Integration: Incorporate weather forecasts (temperature, humidity, cloud cover) to adjust for weather-driven load changes.
- Forecast Generation: Produce forecasts for various horizons (e.g., next hour, day-ahead, seasonal peaks) for different customer segments.
- Market Support: Provide forecasts to retail power traders for strategic supply and hedging decisions.
- Reporting & Collaboration: Communicate forecasts, analysis, and potential risks to management, trading desks, and operations.
Essential Requirements:
- Bachelor’s degree in engineering, mathematics, or a related quantitative field.
- ~2-4 years of professional experience developing and maintaining mathematical models, preferably in electricity/power load forecasting or in data analytics supporting a Retail Energy Provider, Independent Power Producer (IPP), or a utility.
- Strong quantitative modeling (regression modeling, including neural-net, simple regression, and hybrid modeling) and statistical analysis (MAD, MAPE, etc.) skills.
- Advanced programming skills (Python, R, SAS, VBA, and Oracle SQL or SQL Server). Experience with LightGBM, CatBoost, and XGBoost is strongly preferred.
- Knowledge of and proficiency with data extraction, analysis, and reporting across complex system structures.
- Familiarity with deregulated power ISO markets, portfolio management and optimization, energy supply stack, load forecasting attributes, C&I customer profiling, etc., is preferred.