Data Scientist

Position Description

We are hiring a Data Scientist to lead forecasting and optimization efforts within our platform. Reporting to the Sr. Director of Engineering, this role will define how quantitative models are built, productionized, and integrated into the system's core functionality. Our DERMS creates and runs virtual power plants (VPPs), requiring forecasting and optimization of delivered capacity in real-world grid environments. This is a senior individual contributor role with broad ownership. You will design and deploy forecasting and optimization systems that directly shape product behavior and operational workflows. The role requires comfort working across the full stack of quantitative development — from raw data plumbing to production deployment. The candidate must have prior experience in electricity and capacity markets; must be knowledgeable in distribution grid topology; and operational boundaries of batteries, EVs, and large commercial buildings.

Job Responsibilities

• Design, build, and maintain forecasting and optimization models embedded in core product workflows
• Model asset behavior, weather impacts, and behind-the-meter resources
• Translate operational and business requirements into quantitative frameworks and production systems
• Own the full lifecycle of quantitative systems — from data ingestion, pipelines, schemas, and interfaces through deployment, monitoring, and reliability in production
• Establish best practices for model development, validation, performance monitoring, and operational robustness
• Partner closely with engineering to define interfaces, data contracts, and system boundaries that enable robust quantitative services
• Provide technical leadership and guidance on quantitative methods across the organization