Power Systems Distribution Specialist

The role

You will own power systems modeling and analysis capabilities for a grid intelligence platform. This involves building real-time operational analysis and long-term distribution planning workflows.

What you will do

• Build, validate, and maintain distribution power flow models for utility clients.
• Develop real-time technical loss computation workflows.
• Design methods for distribution system state estimation from sparse measurement data.
• Build automated validation pipelines to detect data quality and topology errors.
• Develop loss disaggregation methodologies to separate technical and commercial losses.
• Develop simulation workflows for capacity expansion, feeder routing, and voltage regulation.
• Build and run hosting capacity analysis and DER interconnection studies.
• Perform contingency analysis and reliability studies.
• Develop power flow scenarios for demand growth and electrification impact.
• Support voltage optimization and power factor correction studies.

Required qualifications

• Bachelor's or Master's degree in Electrical Engineering, Power Systems, or a related technical field.
• 5+ years of experience in distribution power systems analysis.
• Strong understanding of power system fundamentals: power flow analysis, voltage regulation, short circuit analysis, contingency analysis, power factor correction, and technical loss computation.
• Proficiency in at least one power system simulation tool (e.g., CYME, Synergi Electric, PowerFactory, GridLAB-D, OpenDSS, ETAP, or equivalent).
• Hands-on experience working with operational utility datasets, including SCADA, AMI/smart meter data, GIS network models, OMS outage records, or billing/energy accounting data.
• Programming proficiency in Python or MATLAB.
• Experience building or validating distribution network models from real-world utility GIS and asset data.
• Excellent analytical and problem-solving skills.

Nice to have

• Professional Engineer (P.E.) license.
• Experience with distribution system state estimation or real-time power flow applications using AMI or SCADA data.
• Experience with DER interconnection studies, hosting capacity analysis, or solar/storage impact assessments on distribution networks.
• Working knowledge of CIM (IEC 61968/61970) data models and experience with utility data integration or GIS-to-model conversion workflows.
• Familiarity with distribution automation (DA), FLISR, or advanced distribution management systems (ADMS).
• Experience with distribution system planning in emerging markets, particularly India.
• Understanding of ML/AI applications in power systems.
• Experience in a software product environment, agile development, or working closely with software engineering teams.
• Track record in high-growth or zero-to-one environments.

About the company

Pravah is building the world's first foundation model of the electric grid using ML. They work with state-owned distribution and transmission electricity utilities to transform fragmented operational data into intelligence.