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. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as 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

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Join our team and make a difference! Click below or email us at [email protected].