Data Scientist
Core
Lead forecasting and optimization efforts for a platform creating virtual power plants (VPPs) in real-world grid environments.
Role type
Senior individual contributor data scientist (quantitative engineering)
Builds
Forecasting and optimization systems embedded in core product workflows for DERMS and VPPs
Domain
Energy / Electricity markets / Distribution grid topology
Deliverable
production ML models
Required skills
electric load forecasting, constraint programming, multi-objective optimization, time-series analysis, regression-based modeling, Python, data pipeline engineering, production deployment
Preferred skills
DERMS / VPP experience, US energy and capacity markets, Bayesian modeling, distribution grid topology knowledge
Responsibilities
Design and deploy forecasting/optimization models; model asset behavior and weather impacts; translate business requirements into quantitative frameworks; own full lifecycle of quantitative systems; establish best practices for model validation; partner with engineering on interfaces and data contracts; provide technical leadership on quantitative methods
Seniority
Senior, hands-on IC