Uplight is creating a new category of energy. We make software that manages energy resources in homes and businesses—including things like smart thermostats, electric vehicles, solar panels, storage batteries, heat pumps, and even people’s behavior—to generate, shift, or save energy to balance the grid, making it more efficient and reliable. This creates clean energy capacity that can be used by the power grid instead of burning more fossil fuels. Our solutions accelerate the transition to clean energy and save money for energy customers.
We are seeking a highly skilled Data Scientist with a focus on Optimization and Software Engineering to join our Predictive Controls team. Our team is responsible for optimizing and dispatching flexible energy resources to participate in a variety of grid and market services, including virtual power plants (VPPs), wholesale energy arbitrage, ancillary services, demand response, and grid support.
The ideal candidate brings a deep understanding of electricity markets, strong analytical and modeling capabilities, and robust software engineering skills to deploy and maintain optimization logic in a production environment. You will work at the intersection of energy systems, mathematical optimization, and software development, collaborating closely with both internal teams and external customers.

DOMAIN KNOWLEDGE & MODELING

• Develop and maintain models of distributed energy resources (DERs) and flexible energy assets for operational and financial optimization.
• Apply knowledge of electricity markets and grid services to build realistic and effective dispatch strategies.
• Understand and interpret regulatory frameworks and market mechanisms (e.g., frequency regulation, capacity markets, bidding logic).

Please refer the Job description for details