Job summary
Job post source
This job is directly from NextEra Energy, Inc.
Job overview
The Research Scientist at NextEra Energy Analytics conducts applied research and development to solve complex energy-related problems, supporting renewable energy projects and advancing the company's scientific capabilities.
Responsibilities and impact
The role involves designing and prototyping algorithmic solutions, writing production-level code, advising management on research and analytics, supporting pre- and post-construction teams, and collaborating in small interdisciplinary teams to enhance renewable energy systems.
Compensation and benefits
The estimated base pay ranges from $99,200 to $148,800 annually, with starting pay based on experience and qualifications. NextEra Energy offers a comprehensive benefits package and relocation assistance if applicable.
Experience and skills
Candidates must have proficiency in programming languages such as R, Python, Julia, or Fortran, experience with code repositories like Gitlab, effective communication skills, and a Master's degree with 3+ years of experience; a PhD and 5+ years of experience are preferred.
Career development
The position offers opportunities to work on innovative renewable energy projects and expand knowledge in areas like wind, solar, hydrogen, and battery storage within a leading energy company.
Work environment and culture
NextEra Energy promotes a diverse and inclusive work environment with equal opportunity employment and reasonable accommodations, emphasizing collaboration and innovation in renewable energy.
Company information
NextEra Energy is a leader in renewable energy, operating the world's largest fleet of wind, solar, and storage assets, and focuses on scientific analysis and advanced analytics to drive clean energy solutions.
Team overview
The Research Scientist will join the Applied Sciences team within NextEra Analytics, working in small cross-functional teams on interdisciplinary energy and market problems.
Application process
Applicants are encouraged to apply directly to NextEra Energy; the company does not accept unsolicited resumes from third-party recruiting firms or agencies and provides accommodation requests via email or phone.
Unique job features
This role is distinguished by its focus on cutting-edge algorithm development for renewable energy systems and the opportunity to impact the largest renewable energy fleet globally through scientific research and advanced analytics.
Company overview
NextEra Energy, Inc. is a leading clean energy company primarily engaged in the generation of renewable energy from wind and solar projects, as well as operating one of the largest electric utility companies in the United States, Florida Power & Light Company (FPL). They generate revenue through the sale of electricity and renewable energy credits. Founded in 1984, NextEra has grown significantly through strategic acquisitions and investments in renewable energy, positioning itself as a key player in the transition to sustainable energy solutions.
How to land this job
Tailor your resume to highlight proficiency in programming languages such as R, Python, Julia, and Fortran, emphasizing your experience in writing production-level code and using code repositories like Gitlab.
Showcase your ability to work on applied research and development projects, particularly those involving large datasets and interdisciplinary scientific and mathematical problem-solving in the renewable energy sector.
Apply through multiple platforms including NextEra Energy's corporate careers page and LinkedIn to maximize your chances of being noticed for the Research Scientist role.
Connect on LinkedIn with professionals in NextEra Analytics or the R&D division, initiating conversations with ice breakers like commenting on recent renewable energy innovations by the company or asking about their experience working on wind, solar, or battery storage projects.
Optimize your resume for ATS by incorporating keywords from the job description such as 'applied research,' 'algorithm design,' 'renewable energy systems,' 'scientific analysis,' and specific programming languages to ensure it passes initial screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and expanding your network.
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