Summer Intern, Quantitative Analytics at Cypress Creek… · Durham

Summary: Cypress Creek Renewables is a leading renewables Independent Power Producer focused on developing solar and storage projects. The Quantitative Analytics Team is seeking graduate candidates for a paid internship to work on analytics related to revenue optimization and risk mitigation for the company's projects. Responsibilities: - Developing a prototype of a real-time battery optimization algorithm utilizing stochastic price forecasts - Developing a comprehensive MLOps framework for price forecasting models - Researching and developing DA/RT and Point-to-Point (PTP) trading algorithms and risk adjusted performance metrics Required Qualifications: - Must be in grad school (Masters or PhD) - Must be proficient in either Python or Julia Preferred Qualifications: - Prefer computer science, statistics, or analytics degrees or course work (include examples in cover letter or resume) - Prefer a basic understanding of energy market operations - Ideally have a strong desire to work in clean energy / clean tech post college Required Skills: Machine Learning, Stochastic Optimization, Model Predictive Control, Reinforcement Learning Important Skills: Python, Julia Nice-to-Have Skills: Energy Market Operations, Desire for Clean Energy