Principal Data Scientist

Job Title:

Principal Data Scientist -

Load & Renewable Generation Forecasting Location:

Juni Beach, FL (Onsite)

Duration:

12

Months Job Description:

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