Senior Data Scientist – Load & Renewable Generation Forecasting
Location :- Juno Beach, FL
Key Responsibilities
Forecasting & Model Development
Advanced proficiency in Python and common data-science libraries such as pandas, NumPy, scikit-learn, statsmodels, LightGBM, XGBoost, or equivalent tools.
Demonstrated experience developing and deploying forecasting, time-series, or predictive models.
Experience integrating and analyzing weather APIs, NWP forecasts, SCADA/telemetry, databases, and external data feeds.
Ability to evaluate weather-provider performance and determine its impact on forecast accuracy.
Develop and enhance Wind, Solar, and Load forecasting models from research and backtesting through production implementation.
Monitor forecast performance using metrics such as MAE, RMSE, normalized error, bias, forecast skill, and probabilistic metrics where appropriate.
Benchmark internal forecasts against persistence, existing models, alternative weather providers, and third-party forecasts
Develop data connectors and pipelines supporting weather, telemetry, historical generation, load, and operational data.
Support scalable batch and near-real-time forecasting workflows.
Maintain clear model configuration, versioning, dependencies, and documentation.
Collaborate with data engineering and DevOps teams to deploy and maintain forecasting applications.
Build dashboards and analytical tools using Streamlit, Plotly, or similar technologies to communicate forecast performance, model behavior, and operational impacts.
Preferred Experience
Experience working directly with wind-turbine, solar-plant, or SCADA telemetry.
Experience with utility-scale wind forecasting or renewable generation modeling.
Experience with multiple commercial or public weather/NWP providers.
