Energy Data Scientist: Grid Analytics & NILM Expert

NextEra Energy, Inc.

Plantation (FL)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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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 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

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