Senior Data Scientist
Cupertino, CA
Gridmatic
The CompanyGridmatic 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.
The RoleAs 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:- Collect new signals necessary for modelling- 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:- 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 analysisFAQ
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.
The RoleAs 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:- Collect new signals necessary for modelling- 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:- 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 analysisFAQ
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Data Science Jobs
Tags: ETL Machine Learning Pipelines Python
Perks/benefits: Career development Startup environment
Region:
North America
Country:
United States
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