Summer Intern, Quantitative Analytics
Cypress Creek RenewablesLocation not specified
Internship
Posted February 28, 2026
$35 - $35/hr
Apply Now
Application opens on company website
Job Description
The internship involves working with the Quantitative Analytics Team to develop and optimize algorithms for revenue and risk management of solar and storage projects, focusing on areas like machine learning, stochastic optimization, and energy market analysis.
Key Responsibilities
- Develop real-time battery optimization algorithms using stochastic price forecasts
- Create and implement MLOps frameworks for price forecasting models
- Research and develop DA RT and Point-to-Point trading algorithms
- Analyze and improve risk-adjusted performance metrics for trading strategies
Requirements
- Candidates must be graduate students pursuing a Master's or PhD degree in computer science, statistics, analytics, or related fields, and must include relevant coursework or experience in their cover letter or resume.
- Candidates must be proficient in either Python or Julia programming languages.
- Candidates must have a strong knowledge in one or more of the following areas: machine learning, stochastic optimization, model predictive control, or reinforcement learning.
- Candidates should have a basic understanding of energy market operations.
- Candidates must be able to work in one of the company's office locations (Durham, NC; Washington, DC; NYC; or San Francisco, CA) or remotely, with a preference for office-based work.
- Candidates must be available for a 10-12 week paid internship.
- Candidates must be able to work on a hybrid schedule of 3 weeks in the office and remote work.
- Candidates should have a strong desire to work in clean energy or clean tech after college.
- Candidates must include in their cover letter an explanation of their interest in energy analytics and steps taken to deepen their understanding of the industry in recent years.
Benefits & Perks
Compensation: $35 per hour (may vary based on qualifications, skills, competencies, experience, and location)
Work schedule: Hybrid schedule with a 3-week rotation
Work environment perks: Opportunities to work remotely or in office locations in Durham, NC; Washington, DC; NYC; San Francisco, CA
Additional benefits: Paid internship, potential for full-time employment after graduation, involvement in meaningful clean energy projects, professional development in energy analytics and machine learning
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