Applied Scientist for Renewable Energy Optimization

beBee Careers is hiring an Applied Scientist for Renewable Energy Optimization in Seattle, WA. The role involves maintaining and refining machine learning optimization solutions, experimenting with new opportunities for sustainability, and requires a background in quantitative disciplines and programming. Candidates should have over 5 years of experience in machine learning and familiarity with the power industry.
About the Role

The Renewable Energy Optimization team is seeking an Applied Scientist to join their ranks. As a key member of this team, you will support all lifecycles of machine learning-based optimization solutions.

This includes maintaining day-to-day reliability, scaling and refining current solutions, and experimenting with new optimization opportunities that drive Amazon's sustainability goals.

We are looking for someone with experience in building time series forecasters and a passion for applying those skills to electricity markets.

Responsibilities
• Maintain day-to-day reliability of machine learning-based optimization solutions
• Scale and refine current solutions to meet business needs
• Experiment with new optimization opportunities to drive sustainability goals

Requirements
• Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline
• Experience programming in Java, C++, Python or related language
• 5+ years translating business problems into machine learning solutions and algorithms
• Prior experience working in the power industry or electricity markets