Principal Data Scientist

Job Title :Principal Data Scientist

Job Location: Juno Beach FL

Job Type: Long-term Contract

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.

This role supports critical decision-making for Energy Management (EMT) Power Marketing (PMI) and System Operations (Sysops FPL).

This position will engage in end-to-end model development-from conception 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 AWS cloud infrastructure implementing robust error handling alerting mechanisms and recovery procedures.

The successful candidate should possess deep expertise in time-series forecasting machine learning operations and building scalable data pipelines. They must demonstrate the ability to transform complex datasets into actionable forecasts that drive real-time operational decisions in the energy sector.

We are looking for someone who has a passion for solving challenging forecasting problems and can deliver production-grade solutions in a dynamic operational environment with stringent accuracy requirements and time-sensitive obligations.

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

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)

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