Principal Data Scientist
About The Position
NextEra Energy Resources is one of America’s largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! Position Specific Description Power Generation Division (PGD) is looking for a Principal Data Scientist to support predictive monitoring, equipment diagnostics, and advanced analytics across power generation assets. This role helps improve reliability, asset health visibility, and proactive maintenance decision-making by delivering scalable analytical solutions for operational use. This position requires a strong combination of data science, software development, production deployment, and power generation analytics experience. The individual will partner with reliability engineers, equipment subject matter experts, operations teams, and software developers to ensure solutions are technically sound, operationally useful, and aligned with business objectives. Employees in this role provide technical leadership for advanced analytics, equipment diagnostics, and predictive monitoring solutions supporting Power Generation assets.
Requirements
- Experience with regression, decision trees, rules-based logic, anomaly detection, and statistical analysis
- Experience with Python, SQL, AWS, GitHub/Bitbucket, APIs, ETL workflows, and CI/CD
- Bachelor’s Degree
- Experience: 6+ years
Nice To Haves
- M.S. or Ph.D. in a quantitative, technical, or engineering-related field
- Power generation, utility, renewable energy, industrial operations, or predictive maintenance experience
- Data engineering experience building scalable production data pipelines and integrations
- Master’s Degree
- Doctoral Degree
Responsibilities
- Leads development and enhancement of equipment diagnostic algorithms, predictive monitoring models, and analytical applications
- Applies statistical and logic-based methods to identify failure signatures, equipment issues, and asset health trends
- Converts analytical methods into production-ready implementation logic, documentation, and technical specifications
- Validates, back-tests, deploys, monitors, troubleshoots, and continuously improves analytical solutions
- Supports production data workflows, integrations, cloud deployment, and model migration
- Partners with reliability engineers, equipment SMEs, operations teams, and software developers to deliver practical solutions
- Provides technical guidance, review, and mentoring to data scientists and technical team members
- Clearly communicates technical findings, model performance, and business recommendations to technical and non-technical audiences
- Performs other job-related duties as assigned
- Provide thought leadership, set technical strategy, and identify possible uses of data science methods
- Explain methods and results to upper-level executives
- Develop machine learning, optimizations or other modeling solutions
- Oversee related employee work, learn new techniques being developed
- Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
- Works with big data and distributed computing platforms
- Develops software and contributes to product development
Benefits
- Relocation Provided: Yes, if applicable
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What This Job Offers
Job Type
Full-time
Career Level
Principal
