Senior/Staff Data Scientist

Gridsight; Melbourne; Remote; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Meaningful ESOP

WFH allowance

Health and wellness allowance

Office in Sydney with Melbourne spaces

Job summary

Gridsight is seeking a Senior/Staff Data Scientist to join the Connections Squad in Melbourne. You will design and implement data-driven methods to model new grid connections, forecast grid state, and assess energy projects, enabling faster renewables integration.

You will work with Software Engineers and Data Engineers to translate requirements into scalable solutions, applying Monte Carlo methods and advanced statistics. Remote-friendly team environment.

Qualifications

• 5+ years in data science roles with demonstrable impact.
• Proficiency in Python and software development fundamentals.
• Experience with ML modelling, numerical methods and statistics.

Responsibilities

• Design, build, and maintain data science models for grid connections and forecasts.
• Ingest data from disparate sources and support modelling with pipelines.
• Collaborate with engineers to translate requirements into scalable solutions.
• Establish best practices for development, validation, and monitoring of data products.
• Contribute to data science strategy and architectural direction.

Skills

Python

Data science

ML modelling

Numerical methods

CI/CD

Job description

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 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

As a Senior/Staff Data Scientist in the Connections Squad, you will provide the data insights needed to connect new facilities to the grid. You will design, implement and run the calculations needed to model new connections, and perform the statistical analysis needed to assess their impacts. Your solutions will allow electricity utilities 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

• Design, build, and maintain software products and data science models capable of simulating or predicting key components, properties and events of electricity grids, including individual connections to the grid such as power assets, commercial, industrial, agricultural and infrastructure projects
• Obtain data from disparate sources to inform and support modelling, by performing data discovery and/or developing automated retrieval pipelines as needed
• Ensure software and model capabilities, coverage and performance align with customer requirements, directly engaging with customers from time to time in order to do so
• Collaborate with Software Engineers, Data Engineers, and other Product teams to understand data science requirements and translate them into technical solutions
• Establish best practices for development, validation, and monitoring of data and software products
• Contribute to technical and architectural strategy for data science

Core Requirements

• Experience: 5+ years in data science roles in industry, with demonstrable impact.
• Software engineering fundamentals: proficiency in Python or similar language, architecture, system design, version control, testing practices, code review, CI/CD
• Numerical modelling: mathematical modelling, numerical methods, applied statistics
• ML modelling: experience developing, training, testing and validating machine learning models, as well as deploying them to production

Differentiators

• Experience with Monte Carlo methods
• Experience with numerical forecasting methods
• Experience in energy, utilities, or IoT/sensor data domains
• Experience building data products for customer consumption
• Experience delivering software/data products to customers, and iterating based on their feedback.
• Experience discovering and integrating diverse data sources into complex modelling pipelines, both ML and otherwise
• Experience designing and implementing agentic workflows
• Experience optimising Python workflows, e.g. via parallel/distributed solutions or development of interfaces to optimised lower-level libraries
• Experience working in remote or distributed teams
• Data governance or compliance experience in regulated industries

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

• Brendan Banfield (CEO at Gridsight) in conversation with James Cameron (Partner at Airtree)
• Gridsight's work with Endeavour Energy to deliver flexible exports
• The problem space we're tackling