Principal Data Scientist - Load & Renewable Forecasting

Job Title: Principal Data Scientist Load & Renewable Generation Forecasting

Location: Juno Beach, FL

Duration: Long-Term Contract

Job Summary:

We are seeking a Principal Data Scientist to lead the development and deployment of advanced forecasting models for Load, Solar, and Wind generation. This role is critical to supporting real-time decision-making across energy management, power marketing, and system operations.

The ideal candidate will have deep expertise in time-series forecasting, machine learning, and scalable data pipelines, with proven experience delivering production-grade solutions in cloud environments such as AWS.

Key Responsibilities:

• Lead end-to-end development of forecasting models from concept to production deployment
• Develop models for load, solar, and wind generation forecasting
• Perform advanced feature engineering, including weather data integration via APIs
• Build scalable data pipelines for real-time and batch forecasting
• Deploy models into production with monitoring, alerting, and recovery mechanisms
• Design and implement automated retraining and performance evaluation frameworks
• Integrate solutions with internal systems and AWS cloud infrastructure
• Develop interactive dashboards (Streamlit/Plotly) for stakeholder insights
• Collaborate with trading, operations, and engineering teams in Agile environments

Required Qualifications:

• Strong experience in Data Science / Machine Learning roles
• Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels)
• Proven experience with time-series forecasting models (ARIMA, SARIMAX, Gradient Boosting)
• Hands-on experience with model deployment and MLOps practices
• Experience integrating weather APIs and external data sources
• Strong knowledge of AWS (EC2, S3, Lambda, SageMaker)
• Experience with SQL and large-scale data processing
• Experience building dashboards using Streamlit, Plotly, or similar tools

Preferred Skills:

• Experience in renewable energy or energy markets
• Knowledge of probabilistic forecasting and uncertainty quantification
• Experience with Agile tools (Jira, Confluence)

Technical Skills:

• Time-Series Forecasting & Model Evaluation (MAE, RMSE, MAPE)
• Feature Engineering (weather data, domain-specific signals)
• Data Pipelines & ETL
• Version Control (Git)
• Cloud & Infrastructure (AWS)

Key Expectations:

• Own the full model lifecycle from development to production
• Deliver high-quality, cost-effective forecasting solutions
• Collaborate effectively with cross-functional teams
• Work in Agile/Scrum environments