Principal Data Scientist - Load & Renewable Generation Forecasting
"Position Specific 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 NextEra Energy operations. This role supports critical decision-making for Energy Management (EMT), Power Marketing (PMI), and System Operations (Sysops FPL).
Key Expectations:
• Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment
• Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams
• Works effectively within Agile frameworks and actively participates in scrum ceremonies
• Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standards
Job Overview
Job Duties & Responsibilities
Model Development & Production:
• Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment
• Build automated retraining and evaluation frameworks with monitoring dashboards
Data & Infrastructure:
• Develop data connectors for weather APIs and data warehouse systems
• Design scalable pipelines for real-time and batch forecasting operations
• Create interactive dashboards (Streamlit) and present insights to stakeholders
Required Skills & Experience:
• Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)
• 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:
• • Model evaluation metrics (MAE, RMSE, MAPE)
• Automated data pipelines and version control (Git)
VISA USC and GC (Strictly no fake visa )
Yeshwanth K
E:[Upgrade to PRO to see contact]
US/CA Metered
M:(469) 325-3814* 832