Applied Scientist I
Job Overview
This job applies scientific and analytical methods to support the development of advanced models addressing renewable energy generation, storage, and transmission challenges in order to support business objectives. Employees in this role perform applied research and development by combining physical science knowledge with advanced analytics, artificial intelligence, and statistical modeling to produce timely, accurate analytical results. This job develops, tests, and refines models that design, forecast, optimize, and enhance wind, solar, energy storage, and transmission operations under the guidance of more senior team members. Employees in this role collaborate within cross-functional teams to solve complex, interdisciplinary problems and contribute to innovative solutions that strengthen competitive advantage and support the future of clean energy.
Job Duties & Responsibilities
- Carry out 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
Required Qualifications
- Education: Bachelor's Degree
- Experience: 2+ years
- Preferred Qualifications: 4+ years