Data Scientist: Smart Grid Analytics & NILM

NextEra Energy Resources; Plantation (FL); On-site; USD 110,000 - 165,000; Full time

Job summary

NextEra Energy is seeking a highly motivated Data Scientist to join our AMI 2.0 initiative, focusing on disaggregation models and grid insights from smart meter data. You will work with cross-functional teams to transform meter data into actionable intelligence supporting grid modernization and business growth.

Responsibilities include developing advanced algorithms for load forecasting, anomaly detection in HVAC, and real-time grid event detection, while contributing to AMI enhancements and

Qualifications

• 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.

Responsibilities

• Develops machine learning, optimization and other modeling solutions.
• Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses.
• Works with datasets including timeseries data and big data on distributed computing platforms.
• Writes software in R, Python or similar languages and contributes code to product development teams.
• Performs other job-related duties as assigned.
• Develop analytics frameworks for program sales optimization.

Skills

Python

R

SQL

Time series

ML

Education

Bachelor’s Degree

Master’s Degree

Doctoral Degree

Tools

Spark

Hadoop

Tableau

Power BI

Job description

NextEra Energy is seeking a highly motivated Data Scientist to join our AMI 2.0 initiative, focusing on disaggregation models and grid insights from smart meter data. You will work with cross-functional teams to transform meter data into actionable intelligence supporting grid modernization and business growth.

Responsibilities include developing advanced algorithms for load forecasting, anomaly detection in HVAC, and real-time grid event detection, while contributing to AMI enhancements and