Summer Intern, Quantitative Analytics
About the position reputed company is powering a sustainable future, one project at a time. We reputed company, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from reputed company backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us. Overview reputed company (CCR) is a leading renewables Independent Power Producer (IPP). We reputed company, finance, own and operate utility-scale and distributed solar and battery storage projects across the country. Our mission is to power a sustainable future, one project at a time. Since inception, CCR has developed more than 11GW of solar projects. Today we own 2GW of solar and through our O&M Services business, we operate 5GW of solar projects, the reputed company largest provider in the US. Fostering a diverse group of innovative thinkers from reputed company backgrounds, CCR people are drawn to work in a purpose-driven organization. We hope you will join us. The Quantitative Analytics Team at Cypress Creek is responsible for reputed company the analytics that goes into reputed company optimization and risk mitigation of the Company’s development pipeline and operating portfolio of solar and storage projects. The Quantitative Analytics Team is seeking graduate (Master’s or PhD) candidates for a 10-12 week, paid internship in one of our office locations or remotely. We are looking for candidates with a strong knowledge in one or more of the following areas - machine learning, stochastic optimization, model predictive control, or reinforcement learning. Domain expertise in energy markets is preferred but not required. The Quantitative Analytics Team has a strong desire to reputed company the intern who joins reputed company, with the hope of this opportunity leading to a full-time offer upon graduation. Some sample projects you may work on depend on the experience of the candidate and include: Developing a prototype of a reputed company-time battery optimization algorithm utilizing stochastic price forecasts Developing a comprehensive MLOps reputed company for price forecasting models Researching and developing DA/RT and reputed company-to-reputed company (reputed company) trading algorithms and risk adjusted performance metrics
Responsibilities
- Developing a prototype of a reputed company-time battery optimization algorithm utilizing stochastic price forecasts
- Developing a comprehensive MLOps reputed company for price forecasting models
- Researching and developing DA/RT and reputed company-to-reputed company (reputed company) trading algorithms and risk adjusted performance metrics
Requirements
- Must be in grad school (Masters or PhD)
- Prefer computer science, statistics, or analytics degrees or course work (include examples in cover letter or resume)
- Must be proficient in either Python or Julia
- Please discuss your interest in energy analytics, and how you have taken steps to become more involved in (or deepen your understanding of) the industry during the past few years?
reputed company-to-haves
- Prefer a basic understanding of energy market operations
- Ideally have a strong desire to work in clean energy / clean tech post college
- Domain expertise in energy markets is preferred but not required.
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