Applied Scientist I — AI/ML for Renewable Energy Analytics

NextEra Energy, Inc.; Saint Paul (MN); Presencial; USD 96.000 - 144.000; Tempo integral

Benefícios oferecidos por esta vaga

Benefits package

Relocation provided

Resumo da vaga

NextEra Analytics, a unit of NextEra Energy, is seeking an Applied Scientist I to advance renewable energy forecasting, optimization, and data‑driven decision-making. You will build models for wind, solar, storage, and transmission, combining physical science with AI and statistical methods, in a fully onsite role in St.

Paul, MN. Collaborating with cross‑functional teams, you will implement research into practical analytics, write code in R, Python or Julia, and contribute to product

Qualificações

• Bachelor's Degree required.
• 2+ years of experience.
• 4+ years of experience preferred.

Responsabilidades

• Conduct applied research and development in small, collaborative teams to solve complex energy‑related problems using physical science and advanced mathematical approaches
• Design and develop 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 code in R, Python, Julia, or similar languages to support research deliverables and analytical workflows
• Contribute to product development through structured research initiatives, collaborating cross‑functionally with software engineering, product, and customer teams to deliver solutions that meet business objectives
• Provide analytical and scientific support to internal teams and senior colleagues on ad hoc challenges, non‑standard analytics requests, and workflow problem‑solving as business needs arise
• Performs other job‑related duties as assigned

Conhecimentos

R

Python

Julia

Formação

Bachelor's Degree

Descrição da vaga

NextEra Analytics, a unit of NextEra Energy, is seeking an Applied Scientist I to advance renewable energy forecasting, optimization, and data‑driven decision-making. You will build models for wind, solar, storage, and transmission, combining physical science with AI and statistical methods, in a fully onsite role in St.

Paul, MN. Collaborating with cross‑functional teams, you will implement research into practical analytics, write code in R, Python or Julia, and contribute to product