Job Description
Job DescriptionPrincipal Data Scientist
Juno Beach, FL (Onsite)
Contract: 12 Months (Potential Extension)
Client: Leading Energy & Utilities Organization
Pay Rate: DOE (Dependent on Experience)
Overview
We are seeking an experienced Principal Data Scientist to join a high-impact forecasting team focused on load and renewable energy generation (solar & wind). This role is critical in building and deploying advanced forecasting models that support real-time decision-making across energy operations, trading, and system management.
You will work end-to-end—from data ingestion and feature engineering to model deployment and monitoring—delivering scalable, production-ready solutions in a fast-paced, data-driven environment.
Key Responsibilities
- Design, develop, and deploy time-series forecasting models for load, solar, and wind generation
- Build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and evaluation
- Integrate weather and external data sources via APIs into forecasting workflows
- Deploy models into production with monitoring, alerting, and performance tracking
- Develop automated retraining frameworks to ensure model accuracy over time
- Collaborate with cross-functional teams including trading, operations, and engineering
- Create interactive dashboards and visualizations for business stakeholders
- Work within Agile/Scrum environments and contribute to sprint activities
Required Qualifications
- 8+ years of experience in Data Science / Machine Learning
- Strong expertise in Python and libraries such as pandas, numpy, scikit-learn, statsmodels
- Proven experience with time-series forecasting (ARIMA, SARIMAX, Gradient Boosting, etc.)
- Hands-on experience deploying models into production environments
- Experience integrating APIs and external data sources (e.g., weather data)
- Solid understanding of AWS cloud services (EC2, S3, Lambda, SageMaker)
- Strong SQL skills and experience working with large datasets
- Experience with data visualization tools (Streamlit, Plotly, or similar)
Preferred Qualifications
- Experience in energy markets or renewable forecasting
- Knowledge of probabilistic forecasting and uncertainty modeling
- Familiarity with Agile tools such as Jira and Confluence
- Experience with automated data pipelines and version control (Git)
Key Skills
- Time-Series Forecasting & Predictive Modeling
- Feature Engineering (especially weather-driven signals)
- Model Evaluation (MAE, RMSE, MAPE)
- Machine Learning Operations (MLOps)
- Data Engineering & Pipeline Automation
What Makes This Role Exciting
- Work on mission-critical energy forecasting systems
- Opportunity to build production-grade ML solutions at scale
- Collaborate with industry experts in energy, trading, and operations
- Direct impact on real-time decision-making and renewable energy optimization
Note: This is an on-site position in Juno Beach, FL. Remote work is not available for this role.
We are an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.