Senior/Staff Data Scientist (Power Flows)
About this role
The Role
You will design, implement and run the AC and DC power flow simulations that allow utilities to understand and manage modern dynamic electricity grids. Your solutions will make it possible to efficiently manage grid constraints and resources, to forecast grid state into the future, and to assess connection applications for new renewables projects in record time.
Key Accountabilities
- Implement, adapt or develop AC and DC power flow engines for grid modelling and forecasting
- Build scalable power flow modelling software able to perform in real-time or near-real-time operational contexts
- Solve AC optimal power flow problems related to grid operations, resource dispatch, and network management
- Run, tune and debug both balanced and unbalanced load flows
- Develop and run software for state (DC + AC) and network parameter estimation (impedances, phasing, customer to transformer mapping)
- Collaborate with others in the grid modeling team to formulate network models and constraints as optimisation problems
- Establish best practices for power flow development, validation, and monitoring
- Contribute to technical strategy for data science, optimisation and modelling capabilities, and future applications
Core Requirements
- Power flow expertise: Deep experience with AC optimal powerflow (AC-OPF) calculations, including the use of key open-source packages such as OpenDSS, pandapower and/or lf-energy.
- Experience with state/parameter estimation for energy networks, or fitting of other parametric statistical models in high dimension
- Data science foundations: Statistical modeling, numerical programming, algorithm design, data analysis
- Senior/Staff level experience: 5+ years in data science/electrical engineering/optimisation roles with demonstrated impact
- Software engineering prowess: Capable of writing quality code in Python for power flow algorithms and data analysis; familiar with architectural principles, system design, version control, testing practices, code review, CI/CD
Differentiators
- Grid domain knowledge (electrical networks, power systems, operational constraints)
- Experience tuning, debugging and reconciling power flow outputs with real world observations (SCADA and/or smart meters)
- Real-time or near-real-time optimisation system experience
- Understanding of DER integration challenges and battery/VPP operations
- Experience in load forecasting
- Ability to work with customers to incorporate their existing forecasts into your own calculations
- Software engineering depth (system design, testing, deployment, MLOps)
- Familiarity with Databricks
- Familiarity with cleaning and exploration of SCADA and/or smart meter data
What We Offer
- Competitive salary. We hold high expectations, but pay accordingly.
- Meaningful ESOP so you share in the growth of Gridsight.
- $2,500 WFH allowance, $2,500 health and wellness allowance, bi-annual in person working weeks, and lunch is on us when you’re in office.
- Work how you like. Fully remote, hybrid or in office with a fresh, new head office in Sydney and satellite spaces in Melbourne, Brisbane and Hobart.
Learn More
Company at a glance
Gridsight is a fast-growing GridTech startup accelerating the global transition toward electrification and decarbonisation. Our AI-powered SaaS platform generates insights to ensure electrical utilities maximise reliability, modernise and optimise operations, and integrate renewable energy sources seamlessly into the grid.
Top Benefits
- Competitive salary
- Employee stock ownership plan
- Work from home allowance
- Health and wellness allowance
- Bi-annual in-person working weeks
- Complimentary lunch in office
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