Quantitative Analytics Intern

Cypress Creek Renewables

Remote

Internship

Posted March 10, 2026

$35 - $35/hr

Solar Energy

Remote

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Job Description

The internship involves applying quantitative analytics, machine learning, and optimization techniques to enhance revenue and manage risks in solar and storage energy projects, with opportunities to develop real-time algorithms and forecasting models in a clean energy environment.

Key Responsibilities

Develop real-time battery optimization algorithms using stochastic price forecasts
Create and implement MLOps frameworks for price forecasting models
Research and develop trading algorithms and risk-adjusted performance metrics

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 domain expertise in energy markets, although this is preferred but not required.
Candidates must have a basic understanding of energy market operations.
Candidates must be able to work in one of the company's office locations in Chicago, IL; NYC; or San Francisco, CA, or remotely.
Candidates must be enrolled in graduate school (Master’s or PhD) and be available for a 10-12 week paid internship.
Candidates must be able to work on a hybrid schedule with a 3-week in-office schedule.
Candidates must demonstrate a strong desire to work in clean energy or clean tech industries post-college.
Candidates must include in their cover letter an explanation of their interest in energy analytics and the steps they have taken to deepen their understanding of the industry during the past few 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: Office locations in Chicago, IL; NYC; and San Francisco, CA; opportunities for remote work

Additional benefits: Paid internship lasting 10-12 weeks, potential for full-time offer upon graduation, opportunity to work on projects related to energy analytics, battery optimization, and trading algorithms, inclusive and diverse workplace environment