Gridmatic

Senior Data Scientist

Cupertino, CA, US

HybridFull time roleEarly Career, Mid Level

About 1 month ago

About the Job

<div><b><span style="font-size:18px;">The Company</span></b></div><div>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.</div><div><br></div><div><b style="font-size:18px;">The Role</b></div><div>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.</div><div><br></div><div>We are open to a range of seniority levels for this position. We will compensate and scope projects accordingly.</div><div><br></div><div><b style="font-size:18px;">What you might work on: </b></div><div>Build a storage scheduler in a new market:</div><div>- Collect new signals necessary for modelling</div><div>- Read and implement constraints defined in electricity market tariffs</div><div>- Work with the ML Team to create the necessary forecasts</div><div>- Work with the Optimization Team to solve the portfolio optimization</div><div><br></div><div>Create a pricing engine for time-matched (24/7) clean electricity supply:</div><div>- Ingest data on clean energy supply contracts, load shapes, and electricity prices</div><div>- Work with the ML Team to forecast retail customer load</div><div>- Work with the Optimization Team to create a least-cost supply portfolio</div><div><br></div><div><b style="font-size:18px;">You might be a good fit if you:</b></div><div>- 2+ years of DS work experience or a relevant graduate degree</div><div>- Write robust, production-level code, preferably in Python</div><div>- Enjoy collaborative, cross-functional work</div><div>- Have led successful projects focused on one or more of the following: time series forecasting, optimization, ETL pipelines, or electricity market analysis</div><br><br><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">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.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

About the Company

Gridmatic Logo

Gridmatic

Cupertino, CA, USA

21-50

<p>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 6 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. We are environmentally and data-driven, with a growth-oriented mindset and we value integrity as much as excellence.</p>