Data Science Intern
Cupertino, CA
Engineering /
Intern /
Hybrid
The Company
Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence.
As a Data Science Intern, you'll support development of software products for our clean electricity retail, battery storage, and market simulation teams. You'll analyze electricity market datasets and contribute to cross-functional software products spanning disciplines of machine learning, optimization, and backend software engineering.
What you might work on:
- Build a storage scheduler in a new market:
- Collect new signals necessary for modeling
- Read and implement constraints defined in electricity market tariffs
- Work with the ML Team to create the necessary forecasts
- Work with the Optimization Team to solve the portfolio optimization
- Create a pricing engine for time-matched (24/7) clean electricity supply:
- Ingest data on clean energy supply contracts, load shapes, and electricity prices
- Work with the ML Team to forecast retail customer load
- Work with the Optimization Team to create a least-cost supply portfolio
You might be a good fit if you:
- Are working on a relevant graduate degree
- Write production-level code, preferably in Python
- Enjoy collaborative, cross-functional work
- Have led or contributed to successful software projects, ideally in the electricity market domain
#LI-DNI
Join our team and make a difference! Click below or email us at careers@gridmatic.com.
