Data Scientist

Role 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.

Qualifications

• 7+ years of experience in data science, applied statistics, quantitative engineering, or related fields
• Real-world experience building electric load forecasting models
• Strong understanding of constraint programming and multi-objective optimization for real-time systems
• Experience building optimization models and implementing them in energy / capacity markets
• Background in time-series analysis and regression-based modeling
• Proven experience deploying and maintaining models in production environments
• Comfort working with highly variable real-world data from numerous and varying sources, and building the supporting infrastructure
• Strong programming skills in Python (or similar)
• Ability to operate autonomously and make sound technical trade-offs
• Strong communication skills across technical and non-technical audiences

Requirements

• Experience in the DERMS / VPP space (Nice to Have)
• Familiarity with US energy and capacity markets specifically (Nice to Have)
• Background in Bayesian modeling (Nice to Have)
• Knowledge of distribution grid topology and the operational boundaries of batteries, EVs, and large commercial buildings (Nice to Have)

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• Employer paid life insurance, AD&D, and disability insurance
• Competitive 401(k) match – up to 6%
• Performance based bonus
• Potential profit sharing
• Paid time off, holidays and other paid leave