Analytical and Problem solving, Data Modeling, Data structuring, Data Visualization, Effective communication skills, Forecasting, Linear Algebra, Machine learning techniques, Mathematical modeling, Python Programming, Statistical modeling
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.
Responsibilities
Qualifications
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.
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.