Senior Data Scientist

Job Title: Principal Data Scientist Location: Juni Beach, FL. Employment Type: 1 year contract. Work Mode: Fully Onsite. Job Description: • The IT Forecasting team is seeking a Principal Data Scientist to lead the development and production deployment of advanced forecasting models for Load, Solar, and Wind generation across enterprise energy operations. • This role supports critical decision-making for Energy Management (EMT), Power Marketing (PMI), and System Operations (Sysops FPL). • The position involves end-to-end model development—from concept through production deployment—including advanced feature engineering, weather data integration via APIs, model optimization, and performance monitoring. • The ideal candidate will design production-ready forecasting solutions integrated with internal systems and AWS cloud infrastructure, implementing robust error handling, alerting mechanisms, and recovery procedures. • The candidate should possess deep expertise in time-series forecasting, MLOps, and scalable data pipelines, with the ability to transform complex datasets into actionable insights for real-time operational decisions. Key Expectations: • Own the complete model lifecycle from development to production deployment. • Collaborate with trading, operations, and engineering teams. • Work effectively within Agile frameworks and participate in Scrum ceremonies. • Deliver cost-effective, high-quality forecasting solutions meeting accuracy and timeline requirements. Key Responsibilities - Model Development & Production: • Lead end-to-end forecasting model development for Load, Solar, and Wind. • Build automated retraining, evaluation frameworks, and monitoring dashboards. Data & Infrastructure: • Develop data connectors for weather APIs and data warehouse systems. • Design scalable pipelines for real-time and batch forecasting. • Build interactive dashboards (Streamlit) and present insights to stakeholders. Required Skills: • Python Expertise: Advanced proficiency (pandas, numpy, scikit-learn, statsmodels). • Time-Series Forecasting: ARIMA, SARIMAX, gradient boosting methods. • Production Deployment: Model versioning, monitoring, and lifecycle management. • API Integration: Weather APIs and external data ingestion. • Cloud & Infrastructure: AWS (EC2, S3, Lambda, SageMaker), IaC exposure. • Database Management: SQL, large-scale query optimization. • Dashboard Development: Streamlit, Plotly, or similar tools. Preferred Skills: • Advanced feature engineering and probabilistic forecasting. • Energy domain experience (renewables, load forecasting). • Agile tools (Jira, Confluence). Technical Competencies: • Feature engineering using weather variables and domain signals. • Model evaluation metrics (MAE, RMSE, MAPE). • Automated pipelines and version control (Git).