Data Scientist

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 Scientist, you will drive development of cross-disciplinary software products used by our clean electricity retail, battery storage, and electricity market simulation teams. These products rely on ETL pipelines, deep time series forecasting, and portfolio optimization, all within the domain of electricity markets. Expertise in each of these areas is not necessary, but technical breadth will provide useful context as you iterate.

 

We are open to a range of seniority levels for this position. We will compensate and scope projects accordingly.

 

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

 

- 2+ years of DS work experience or a relevant graduate degree

- Write robust, production-level code, preferably in Python

- Enjoy collaborative, cross-functional work

- Have led successful projects focused on one or more of the following: time series forecasting, optimization, ETL pipelines, or electricity market analysis