Florida Power & Light Company is seeking to maximize the value of its existing AMI infrastructure and support the transition to next-generation metering technology by developing advanced disaggregation models and extracting grid insights from smart meter data.
Requirements
- 3+ years of experience in machine learning and advanced analytics
- Proficiency in Python, R, and SQL for data analysis and model development
- Experience with time series analysis and signal processing techniques
- Knowledge of utility operations and smart grid technologies preferred
- Advanced statistical modeling and machine learning techniques
- Big data analytics and cloud computing platforms
- Data visualization tools (Tableau, Power BI, or similar)
Responsibilities
- Design and develop sophisticated disaggregation algorithms to identify individual appliance usage patterns from aggregated smart meter data
- Create machine learning models for AC anomaly detection and HVAC performance optimization
- Build predictive models for grid event analysis and meter response optimization
- Develop algorithms for enhanced load forecasting using high-resolution AMI data
- Analyze baseline performance of existing meters to identify opportunities for enhanced grid sensing capabilities
- Support the enterprise cyber risk assessment through data-driven security insights
- Collaborate on AMI enhancements and distributed intelligence testing
Other
- Bachelor's Degree
- 2+ years of experience
- Master's Degree preferred
- Doctoral Degree preferred
- Must be able to work with a variety of datasets, including timeseries data and 'big data' requiring analysis on distributed computing platforms
