Senior Data Scientist - Load & Renewable Generation Forecasting

We are seeking a skilled Senior Data Scientist - Load & Renewable Generation Forecasting to develop, optimize, and productionize forecasting solutions for wind, solar, and electricity load forecasting. The primary focus will be wind generation forecasting, with additional support for solar and load forecasting initiatives., * Develop and enhance wind, solar, and electricity load forecasting models.

• Integrate weather forecasts, historical generation data, SCADA telemetry, and operational datasets.
• Evaluate and compare weather-provider performance across locations, forecast horizons, seasons, and weather conditions.
• Perform feature engineering, model selection, backtesting, and forecast accuracy analysis.
• Monitor production models, investigate forecast errors, and implement improvements.
• Build reliable data pipelines and production forecasting workflows.
• Collaborate with data science, data engineering, DevOps, and business teams.

• Strong proficiency in Python, pandas, NumPy, scikit-learn, statsmodels, XGBoost, or LightGBM.
• Experience in time-series forecasting, predictive modeling, regression, and machine learning.
• Expertise in feature engineering, model validation, backtesting, and performance optimization.
• Experience working with weather APIs, Numerical Weather Prediction (NWP) data, and external data feeds.
• Knowledge of weather-provider benchmarking, forecast accuracy analysis, bias correction, and ensemble forecasting.
• Strong SQL skills and experience with data integration and analytics.
• Experience deploying and monitoring production machine-learning or forecasting models.
• Working knowledge of AWS services such as S3, EC2, Lambda, SageMaker, and CloudWatch, or equivalent cloud platforms.
• Familiarity with Git, version control, automated testing, and reproducible development practices., * Experience in wind generation, solar generation, or electricity load forecasting.
• Knowledge of wind speed, turbine power curves, meteorological conditions, and renewable-energy operations.
• Experience working with SCADA data, operational telemetry, and power-generation datasets.
• Familiarity with probabilistic forecasting, forecast uncertainty, and energy-market operations.
• Experience developing dashboards using Streamlit, Plotly, or similar tools.