Lead Data Scientist
- Juno Beach, FL
- 68120
(Juno Beach, FL) | 04/08/2026
Easy Apply
Job Code :
JPC
- 68120
Job Description
Lead Data Scientist
- 68120
Pay Range
- $65•$70/hr
We have an immediate long-term opportunity with one of our prime clients for a position Lead Data Scientist to work in Juno Beach, FL on Onsite basis.
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 company's operations. 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
- ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2
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