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.
Gridmatic is looking for a data scientist to join the engineering team, and drive the collection, preprocessing, and analysis of data in support of our development efforts. This role will also support our go-to-market efforts by conducting customer simulations, analyzing pricing options, doing risk assessments, and running reports.
This newly-created role is ideal for the candidate who has strong analytical and programming skills and enjoys wearing multiple hats. Knowledge of the energy industry and experience at high-growth startups are pluses.
What you might work on
- Work as the lead data strategist, collaborating with engineering to integrate datasets to support Gridmatic growth.
- Gather and transform rules and data for various domestic and international energy markets.
- Gather and transform data, forecasts and other features in order in support of our price models.
- Evaluate and backtest various risk policies across Gridmatic's lines of business.
- Set up simulations and pricing analysis for new customers.
- Present information using data visualization techniques.
- Analyze disclosure data to develop industry reports and white papers.
- have 3 - 5 years’ experience as a Data Scientist or Data Analyst.
- understand machine-learning and have experience working with ML engineers.
- have experience with querying, data quality, analytics, and visualization.
- have experience in tool development and systems automation.
- have strong math skills (e.g. statistics, algebra).
- have problem-solving aptitude.
- are an excellent communicator and presentator.
- have a BSc/BA in Computer Science, Math, Statistics, Engineering, Economics, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
- are comfortable working in a research-oriented group with several ongoing concurrent projects as well as business and go-to-market efforts.
- have knowledge of the energy industry, or are eager to learn about it.
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.
How does the interview process work?
We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.
Join our team and make a difference! Click below or email us at careers@gridmatic.com.
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