Data Scientist

Key Responsibilities: Design and build disaggregation algorithms to infer individual appliance usage patterns from aggregated smart meter data. Create machine learning models forAC anomaly detectionandHVAC performance optimization. Develop predictive models forgrid event analysisandmeter response optimization. Build enhancedload forecastingapproaches using high-resolution AMI data. Analyze baseline performance of existing meters to identify opportunities for improved grid sensing capabilities. Support enterprisecyber risk assessmentwith data-driven security insights. Collaborate on AMI enhancements and distributed intelligence testing. ImproveADMS integrationusing advanced data analytics. Extract actionable insights from disaggregated AMI data for regulated programs and customer engagement. Develop analytics frameworks for program sales optimization. Create real-timegrid event detection and responsemodels. Build customer segmentation models based on energy usage patterns. Partner with cross-functional teams to validate business cases through data analysis. Support revenue generation initiatives by identifying high-value customer opportunities. Develop performance metrics andKPIsto measure Smart Grid 2.0 program success. Provide data-driven recommendations for strategic technology investments. Design and execute experiments for proof-of-concept development at theMeter Technology Center (MTC)and participate in iterative testing using a “fail fast, learn fast” methodology. Support vendor evaluation and technology selection through analytical assessment. Develop machine learning, optimization, and other modeling solutions. Prepare comprehensive documented observations, analyses, and interpretations, including technical reports, summaries, protocols, and quantitative analyses. Work with multiple dataset types, including timeseries data and “big data” requiring analysis on distributed computing platforms. Write software inR , Python, or similar languages and contribute code to product development teams. Perform other job-related duties as assigned. Required Qualifications3+ yearsof experience in machine learning and advanced analytics. Proficiency inPython , R, andSQLfor data analysis and model development. Experience withtime series analysisandsignal processing techniques. Knowledge of utility operations and smart grid technologies is preferred. Bachelor’s Degree.

Experience: 2+ years.

Preferred Qualifications: Master’s in Data Science, Statistics, Electrical Engineering, Computer Science, or related field. Experience with energy disaggregation algorithms andnon-intrusive load monitoring (NILM). Background in utility data analytics or grid modernization projects. Familiarity withAMIsystems, SCADA, andADMSplatforms. Experience with distributed computing frameworks (Spark, Hadoop). Understanding of cybersecurity principles in utility environments. Doctoral Degree. Technical Skills & ToolsAdvanced statistical modeling and machine learning techniques Big data analytics and cloud computing platforms Data visualization tools: Tableau , Power BI, or similar IoT data streams and real-time analytics Utility industry standards and protocols

Technologies include: Python , R , SQL, time series analysis, signal processing techniques, machine learning, AC anomaly detection, HVAC performance optimization, IoT data streams, real-time analytics, Spark, Hadoop, AMI systems, SCADA, ADMS, Meter Technology Center (MTC), distributed computing frameworks, Big Data, and cybersecurity principles

Role Overview: The position is responsible for developing algorithms, modeling techniques, and optimization methods that support multiple aspects of NextEra and FPL business. The work uses machine learning, optimization, statistics, and applied mathematics, combined with software engineering capabilities with an emphasis on distributed computing and data storage infrastructure, including Big Data. LocationPlantation, FL, US (onsite) Nearest MarketsFort Lauderdale Miami