Senior/Staff Data Scientist at GRIDSIGHT
Australia, Indiana, Australia -
Full Time


Start Date

Immediate

Expiry Date

10 Nov, 26

Salary

0.0

Posted On

07 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Full job description

About Gridsight

Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight's vertical SaaS platform uses data, ML and AI to help grid operators modernise their operations and unlock transformational new capabilities. We deliver visibility into the grid edge, faster renewable connections, and real-time orchestration of distributed energy. The opportunity is enormous ($1B+ ARR).

We're embedded with over 50% of Australia's distribution networks, more than 30% in New Zealand, and have 1 of the top 5 utilities in the US as our lighthouse. Airtree led our Series A, we grew ARR 3.4x in the past 6 months, and we're on the path to build the first truly generational utility software company.

We are a team of builders. What unites us is that we’re curious, hungry and obsessed with maximising the impact we can deliver to Gridsight and the energy transition. If that sounds like you, come join us!


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

Responsibilities
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