Senior/Staff Data Scientist

Kensington, Australia, Collingwood, Australia, Brisbane, Australia, Australia

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting

What you’ll work on

Full posting

You will design, implement and run the calculations needed to model new connections, and perform the statistical analysis needed to assess their impacts.
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

From the employer’s posting

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

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

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

Benefits in the posting

Full benefits wording

$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.
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From the employer’s posting.

Apply at Gridsight

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 9, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 57.

From 10,780 similar postings that came down. Coming down is not always a hire.

Gridsight is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Its jobs tend to stay up a long time

Hiring record

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Python

Where the posting names them

- 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

- 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

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

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