Data science techniques, Forecasting, Machine learning techniques, Optimization, Python Programming
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.
What you might work on:
Build a storage scheduler in a new market:
Create a pricing engine for time-matched (24/7) clean electricity supply:
You might be a good fit if you:
$165,000 - $230,000 a year
You will also receive Stock Options (ISOs)
Taking care of you today:
Protecting your future for you and your family:
FAQ
What’s your policy on remote work?
We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.
Join our team and make a difference! Click below or email us at careers@gridmatic.com.
Gridmatic Inc. is a high-growth ClimateTech startup based in the San Francisco Bay Area 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 4 years of profitable growth without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion.