Lead Energy Forecasting Scientist (Time-Series & ML)

Florida Power & Light

Juno Beach (FL)

Vor Ort

USD 120.000 - 180.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Relocation Provided

Zusammenfassung

NextEra Energy Resources, LLC is seeking aSenior Data Scientist to lead forecasting models for Load, Solar, and Wind across NextEra operations. You will drive end-to-end development from conception to production deployment, integrating weather data, optimizing models, and monitoring performance in a cloud-based environment.

The ideal candidate has strong time-series forecasting, ML ops, and data pipeline experience, with the ability to deliver production-grade solutions under time-sensitive

Qualifikationen

  • Bachelor’s degree required; 4+ years in data science or forecasting roles.
  • Experience delivering production forecasting models (load, solar, wind).
  • Strong Python with data science libraries (pandas, numpy, scikit-learn).

Aufgaben

  • Develops ML/optimization and modeling solutions.
  • Prepares analyses with technical reports and dashboards.
  • Works with big data and distributed computing platforms.
  • Develops software and contributes to product development.
  • Performs other related duties as assigned.

Kenntnisse

Python
Time-series forecasting
Production deployment
API integration
AWS
SQL
Dashboarding

Ausbildung

Bachelor's Degree
Master's Degree
Doctoral Degree

Tools

Streamlit
Plotly

Jobbeschreibung

NextEra Energy Resources, LLC is seeking aSenior Data Scientist to lead forecasting models for Load, Solar, and Wind across NextEra operations. You will drive end-to-end development from conception to production deployment, integrating weather data, optimizing models, and monitoring performance in a cloud-based environment.

The ideal candidate has strong time-series forecasting, ML ops, and data pipeline experience, with the ability to deliver production-grade solutions under time-sensitive

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