Data Scientist

Responsibilities: Lead the design, development, and productionization of forecasting and optimization models for virtual power plants. Own the full quantitative lifecycle from data ingestion and pipeline creation to deployment and reliability monitoring.

Requirements: Requires over 7 years of experience in data science or quantitative engineering with a strong background in electric load forecasting and energy markets. Must be proficient in Python and experienced in deploying optimization models into production environments.

Key skills: Data Science, Applied Statistics, Quantitative Engineering, Electric Load Forecasting, Constraint Programming, Multi-objective Optimization, Time-series Analysis, Regression-based Modeling, Python, Production Deployment, Data Pipelines, Bayesian Modeling, Distribution Grid Topology, Capacity Markets, Model Validation

Keywords: Data Scientist, DERMS, Virtual Power Plants, VPP, Electricity Markets, Capacity Markets, Distribution Grid Topology, Batteries, EVs, Commercial Buildings, Python, Time-series Analysis, Regression, Bayesian Modeling, Constraint Programming, Multi-objective Optimization, Data Pipelines, Production Deployment, Quantitative Frameworks, Energy Technology, Smart Grid, Renewable Energy