Florida Power & Light Company is seeking a Data Scientist to leverage advanced analytics, machine learning, and statistical modeling to drive data-driven decision making across their generation, transmission, and customer operations, optimizing operations, enhancing customer experiences, and supporting renewable energy initiatives.
Requirements
- Proficiency in Python, R, or similar programming languages for data analysis
- Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
- Strong SQL skills and experience with cloud data platforms (AWS, Azure, GCP)
- Knowledge of statistical analysis, hypothesis testing, and experimental design
- Familiarity with data visualization tools (Tableau, Power BI, or similar)
- Experience with distributed computing platforms (Spark, Hadoop)
- Knowledge of optimization techniques and operations research
Responsibilities
- Develop and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions to solve complex business problems across generation, transmission, and distribution operations
- Design and execute experiments to test hypotheses and measure the impact of data-driven initiatives
- Create forecasting models for energy demand, renewable generation, and market conditions
- Build scalable data pipelines and automated analytical workflows using cloud-based platforms
- Develop dashboards and visualization tools to communicate insights to stakeholders at all levels
- Ensure data quality, integrity, and compliance with regulatory requirements
- Contribute to enterprise data standards and best practices
Other
- 4+ years of experience
- Bachelor's Degree
- Understanding of energy markets, grid operations, or renewable energy systems preferred
- Familiarity with regulatory frameworks in the energy industry (FERC, NERC, etc.)
- Experience with A/B testing and causal inference methods
