Senior/Staff Data Scientist (Optimisation)

Gridsight
Canberra, Australia
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Problem-solving","Collaboration","Technical strategy","Attention to detail","Systems thinking"]

Design, implement, and run optimisation engines for dynamic electricity grids. Build solutions that manage grid constraints and resources, forecast grid state, and assess new renewable connection applications quickly. Work with a grid modeling team to formulate network models and constraints as optimisation problems, and deliver scalable, real-time or near-real-time systems. Own best practices for model development, validation, and monitoring, while shaping the future optimisation capabilities.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Gridsight
Gridsight
8 hours ago

Senior/Staff Data Scientist (Optimisation)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design, implement, and run optimisation engines for dynamic electricity grids. Build solutions that manage grid constraints and resources, forecast grid state, and assess new renewable connection applications quickly. Work with a grid modeling team to formulate network models and constraints as optimisation problems, and deliver scalable, real-time or near-real-time systems. Own best practices for model development, validation, and monitoring, while shaping the future optimisation capabilities.
Location: Canberra, Australia
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Solve constrained optimisation problems for grid operations, resource dispatch, and network management.
  • •Design optimisation solutions that balance multiple objectives including safety, efficiency, customer impact, and operational constraints.
  • •Collaborate with the grid modeling team to formulate network models and constraints as optimisation problems.
  • •Build scalable optimisation solutions that run in real-time or near-real-time operational contexts.
  • •Drive best practices for optimisation model development, validation, and monitoring, and contribute to technical strategy for optimisation capabilities.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityHome OfficeWellness Stipend

Key Requirements

  • •5+ years in linear optimisation roles with demonstrated impact.
  • •Strong constrained optimisation/operations research expertise, including linear programming, convex optimisation, or mixed-integer programming and familiarity with optimisation solvers and frameworks (e.g., Pyomo, CBC, Gurobi, CPLEX, OR-Tools).
  • •Solid data science foundations including statistical modeling, numerical programming, algorithm design, and data analysis.
  • •Capability to write quality Python code for optimisation algorithms and data analysis, with experience in system design, version control, testing, and CI/CD.
  • •Ability to establish best practices for optimisation model development, validation, and monitoring.
Experience:5+ yearsEnergyPower systemsLinear optimisationGrid operations
Skills:Problem-solvingCollaborationTechnical strategyAttention to detailSystems thinking
Languages:English
Tech Stack:PythonPyomoCBCGurobiCPLEXOR-ToolsDatabricksDatadogGrafanaCI/CDMLOps

Company Brief

Gridsight
Develops AI-powered inspection and analytics for electricity networks using aerial imagery and computer vision to detect defects, prioritize repairs, and improve grid reliability for utilities and asset managers.
Industry: Utilities
Website