Data Scientist

NextEra Energy, Inc.; Plantation (FL); On-site; USD 110,000 - 160,000; Full time

Job summary

NextEra Energy, Inc. is seeking a data scientist to develop disaggregation models and derive actionable grid insights from smart meter data in Plantation, FL.

This onsite role supports AMI 2.0 initiatives through analytics and ML that help modernize the grid and drive business growth. You will design algorithms to infer appliance usage, build ML models for AC anomaly detection and HVAC optimization, and develop load forecasting with high-resolution AMI data, collaborating across teams to

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.
• Bachelor’s degree in a related field.
• Experience: 2+ years.

Responsibilities

• Design and build disaggregation algorithms for appliance usage.
• Create ML models for AC anomaly detection and HVAC optimization.
• Develop predictive models for grid event analysis.
• Build load forecasting approaches using high-resolution AMI data.
• Analyze meter performance and cyber risk with data-driven insights.
• Collaborate on AMI enhancements and ADMS integration.
• Write code in R/Python and contribute to product development.

Skills

3+ years ML & analytics

Python proficiency

R proficiency

SQL proficiency

Time series analysis

Signal processing

Bachelor's degree

Education

Bachelor's Degree

Master's degree preferred

Doctoral degree

Tools

Python

R

SQL

Job description

NextEra Energy, Inc. is seeking a self-motivated Data Scientist to develop advanced disaggregation models and derive actionable grid insights from smart meter data. This onsite role in Plantation, FL supports the AMI 2.0 strategic initiative through analytics and machine learning that contribute to grid modernization and business growth goals.

Key Responsibilities

• Design and build disaggregation algorithms to infer individual appliance usage patterns from aggregated smart meter data.
• Create machine learning models for AC anomaly detection and HVAC performance optimization.
• Develop predictive models for grid event analysis and meter response optimization.
• Build enhanced load forecasting approaches using high-resolution AMI data.
• Analyze baseline performance of existing meters to identify opportunities for improved grid sensing capabilities.
• Support enterprise cyber risk assessment with data-driven security insights.
• Collaborate on AMI enhancements and distributed intelligence testing.
• Improve ADMS integration using 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-time grid event detection and response models.
• 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 and KPIs to 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 the Meter 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 in R, Python, or similar languages and contribute code to product development teams.
• Perform other job-related duties as assigned.

Required 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 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 and non-intrusive load monitoring (NILM).
• Background in utility data analytics or grid modernization projects.
• Familiarity with AMI systems, SCADA, and ADMS platforms.
• Experience with distributed computing frameworks (Spark, Hadoop).
• Understanding of cybersecurity principles in utility environments.
• Doctoral Degree.

Technical Skills & Tools

• Advanced 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.

Location

• Plantation, FL, US (onsite)

Nearest Markets

• Fort Lauderdale
• Miami