Sr Applied Scientist I

NextEra Energy Resources; Saint Paul (MN); On-site; USD 118,400 - 177,600; Full time

Benefits offered by this job

Relocation assistance

Comprehensive benefits package

Job summary

NextEra Energy Resources in St. Paul, MN is seeking a Senior Applied Scientist I to join their Applied Science team. This role involves developing advanced analytical models for renewable energy operations and mentoring junior scientists. Candidates should hold a Bachelor’s Degree and have over 4 years of relevant experience.

Successful applicants will apply expertise in AI and statistical modeling to solve complex challenges in renewable energy, contributing directly to operational decision-making and innovation within the sector.

Qualifications

• 4+ years of experience in applied science or a related field.
• Experience with renewable energy technologies.
• Strong mathematical and statistical analysis skills.

Responsibilities

• Lead applied research and development to solve complex energy-related problems.
• Design and implement optimization solutions and AI models.
• Write production-level code to support analytical workflows.
• Mentor junior scientists and contribute to team development.
• Stay current with advances in renewable energy technologies.

Skills

Advanced analytics

AI/Machine Learning

Statistical modeling

Programming in R, Python, Julia

Education

Bachelor's Degree

Job description

Location(s): St. Paul, MN, US, 55107

Company: NextEra Energy

Requisition ID: 95424

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.

Position Specific Description

NextEra Analytics is seeking a Senior Applied Scientist I to join our innovative Applied Science team, where we tackle the renewable energy industry's most challenging and novel problems by seamlessly blending physical science expertise with cutting-edge advanced analytics and AI to develop breakthrough solutions. As part of NextEra Energy—the world's largest renewable energy fleet operator—you'll drive value-add research and development that directly supports business objectives through timely, accurate results. Working at the intersection of renewable energy physics and data science, you'll develop sophisticated analytical models that design, forecast, optimize, and enhance our wind, solar, storage, and transmission operations. This role combines deep scientific understanding with statistical modeling, AI, and software engineering to solve complex, interdisciplinary challenges that have no industry precedent, contributing to innovative solutions that advance NextEra's competitive advantage while helping shape the future of clean energy.

Job Overview

This job leads the development and application of advanced scientific and analytical models to solve highly complex, novel problems across renewable energy generation, storage, and transmission in order to deliver significant business value. Employees in this role drive applied research and development initiatives by integrating deep physical science expertise with advanced analytics, artificial intelligence, and statistical modeling to produce timely, high-impact insights that inform strategic and operational decisions. This job designs, forecasts, optimizes, and enhances wind, solar, energy storage, and transmission operations by translating complex, interdisciplinary scientific concepts into scalable, production-ready analytical solutions. Employees in this role exercise strong technical leadership, mentor less-experienced scientists, and influence solution architecture through cross-functional collaboration to address challenges without industry precedent while advancing competitive advantage and the future of clean energy.

Job Duties & Responsibilities

• Lead applied research and development in small, collaborative teams to solve complex energy-related problems using physical science and advanced mathematical approaches
• Design, develop, and implement optimization solutions and AI/ML models for renewable energy challenges, creating proof-of-concept prototypes and predictive analytics to extract actionable insights from large datasets
• Write and maintain production-level code in R, Python, Julia, or similar languages to support research deliverables, analytical workflows, and AI-powered solutions
• Execute and drive strategic product development through research initiatives, collaborating cross-functionally with software engineering, product, and customer teams to deliver solutions that meet business objectives
• Provide thought leadership and technical guidance to internal teams on complex analytical challenges, research methodologies, AI-powered solutions, and emerging industry trends
• Document and communicate technical results to varying levels of management within and outside the organization to audiences of varying technical aptitude
• Mentor junior scientists and contribute to team development, fostering best practices in analytical approaches, coding standards, and iterative solution development
• Drive innovation and competitive advantage by staying current with advances in renewable energy technologies, AI/ML methodologies, and industry best practices to inform strategic research direction
• Performs other job-related duties as assigned

Required Qualifications

• Education: Bachelor's Degree
• Experience: 4+ years

Preferred Qualifications

• Experience: 6+ years

The estimated base pay for this position is $118,400.00 to $177,600.00 per year. Starting pay will be based on several factors including, but not limited to, experience, qualifications, job-related and industry knowledge and skills and education/training.

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Employee Group: Exempt
Employee Type: Full Time
Job Category: Science, Research, and Technology
Organization: NextEra Analytics, Inc
Relocation Provided: Yes, if applicable

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to [e-mail] , providing your name, telephone number and the best time for us to reach you.

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.