Job Title- Principal Data Scientist- Load & Renewable Generation Forecasting Work Location: Onsite Juno beach, Florida Visa:- USC, Green Card,GC-EAD,H4-EAD,OPT-EAD Duration: 12 MONTHSJob Overview Required Skills & Experience: Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels) Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods) Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication Preferred Skills & Experience: Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods Energy markets and renewable generation forecasting domain expertise Agile project management (Jira, Confluence) Technical Competencies: Feature engineering with weather variables and domain-specific signals Model evaluation metrics (MAE, RMSE, MAPE) Automated data pipelines and version control (Git)