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Data Scientist / Senior Data Scientist (Grid Insights)

Collingwood, New South Wales, Australia · Remote OK

Mid level$4M raised

Purpose You will design and develop software and data science products that provide electricity utilities key insights into the state and operation of their grids. Beginning with detection and disaggregation of DER resou…

Skills: Python, Machine Learning, Bayesian Methods, Numerical Modelling, Applied Statistics

GRIDSIGHT logo

Data Scientist / Senior Data Scientist (Grid Insights)

GRIDSIGHT

Collingwood, New South Wales, Australia • Remote OK

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Mid level

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  • Full-time
  • postgraduate degree
  • Competitive Salary, Equity Package, Remote-first Work Environment, Clear Growth Pathways
  • Posted 16d ago
  • ~40 hrs/week
  • Remote in Australia

Responsibilities

Design and develop software and data science products to provide electricity utilities with insights into grid operations and DER resources. Collaborate with engineering teams to translate requirements into technical solutions and maintain MLOps best practices.

Requirements

Requires 3+ years of data science experience with proficiency in Python, numerical modelling, and machine learning deployment. Experience with Bayesian methods and the energy or IoT domain is highly preferred.

Full job description

Purpose

You will design and develop software and data science products that provide electricity utilities key insights into the state and operation of their grids.  Beginning with detection and disaggregation of DER resources, your work will help to build up the picture of how grids can be managed more efficiently and dynamically, paving the way for the connection of more renewables, sooner.

Key Accountabilities 

  • Design, build, and maintain software products and data science models capable of detecting, characterising or predicting key components, properties and events of electricity grids.
  • 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 and follow data, scientific, MLOps and software engineering best practices including testing, validation, documentation, monitoring, version control and code reviews
  • Contribute to data science strategy and architectural decisions

Core Requirements

  • Experience: 3+ years in data science roles with demonstrable impact. PhD not required, but completion of a doctorate with a relevant focus on data science – especially Bayesian methods – may be counted towards this requirement.
  • 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 Bayesian methods (parameter estimation, hierarchical modelling, sampling, etc)
  • Experience with Monte Carlo 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 and equity package
  • Remote-first, with head office in Sydney
  • A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter
  • A role with clear growth pathways into product and tooling, or deeper customer ownership

Related keywords

Data ScienceGrid InsightsDER ResourcesPythonBayesian MethodsMonte Carlo MethodsMLOpsCI/CDNumerical MethodsApplied StatisticsIoTSensor DataAgentic WorkflowsDistributed SolutionsData GovernanceEnergy

About GRIDSIGHT

LinkedInVisit site

World-leading visibility and flexibility

Industry
Utilities
Company size
51-200 employees
Founded
2020
Headquarters
Sydney, NSW
LinkedIn followers
5,173
Total funding
$4M

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.

Offices: Sydney, NSW, AU · iAccelerate, Building 239, Innovation Campus, Squires Way, North Wollongong , NSW 2500, AU

ConsultingCloud Management
View all jobs at GRIDSIGHT

About GRIDSIGHT

LinkedInVisit site

World-leading visibility and flexibility

Industry
Utilities
Company size
51-200 employees
Founded
2020
Headquarters
Sydney, NSW
LinkedIn followers
5,173
Total funding
$4M

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.

Offices: Sydney, NSW, AU · iAccelerate, Building 239, Innovation Campus, Squires Way, North Wollongong , NSW 2500, AU

ConsultingCloud Management
View all jobs at GRIDSIGHT

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