Senior/Staff Data Scientist (Power Flows)
Core
Design, implement, and run AC/DC power flow simulations to help utilities manage dynamic electricity grids, forecast grid states, and assess renewable connection applications.
Role type
Senior/Staff Data Scientist (Power Systems & Optimization)
Builds
Scalable power flow modelling software for real-time grid operations and forecasting
Domain
Energy sector, Power Systems, Electrical Grids
Deliverable
production ML models | product features
Required skills
AC optimal power flow (AC-OPF) calculations, state/parameter estimation, statistical modeling, numerical programming, algorithm design, Python software engineering, system design, CI/CD practices
Preferred skills
Grid domain knowledge (electrical networks, operational constraints), real-time optimization system experience, DER integration and battery/VPP operations, load forecasting, SCADA/smart meter data analysis, Databricks, MLOps
Technologies
OpenDSS, pandapower, lf-energy, Python, Databricks
Responsibilities
Implement and adapt AC/DC power flow engines, solve AC optimal power flow problems for resource dispatch, run and debug balanced/unbalanced load flows, develop software for network parameter estimation, formulate network models as optimization problems, establish best practices for power flow development and validation
Seniority
Senior/Staff, hands-on IC with strategic contribution