Senior Data Scientist - Grid Optimisation (Remote)

Gridsight; Sydney, Melbourne, Brisbane, Hobart; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

ESOP

WFH allowance

Health & wellness allowance

Bi-annual in-person weeks

Lunch on us

Job summary

Gridsight is seeking a Senior/Staff Data Scientist (Optimisation) to design, implement and run optimisation engines powering modern dynamic electricity grids. You will forecast grid state, manage constraints, and assess renewable connections in rapid timeframes.

The role demands extensive experience in linear and constrained optimisation, strong Python programming, and hands-on use of solvers in high-performance environments. Remote, hybrid or in-office work options available across Australia.

Qualifications

• Strong understanding of existence and uniqueness of optima, ill-posedness, local vs global optimisation, gradient descent methods, least squares minimisation, non-convex optimisation.
• Deep experience in constrained optimisation, operations research, or similar fields (linear programming, convex optimisation, mixed-integer programming, familiarity with optimisation solvers and frameworks such as Pyomo, CBC, Gurobi, CPLEX, OR-Tools, etc.).
• Statistical modeling, numerical programming, algorithm design, data analysis.
• 5+ years in linear optimisation roles with demonstrated impact.
• Capable of writing quality code in Python for optimisation algorithms and data analysis; familiar with architecture, testing, CI/CD.

Responsibilities

• Solve constrained optimisation problems related to grid operations, resource dispatch, and network management.
• Design optimisation solutions that balance multiple objectives (safety, efficiency, customer impact, operational constraints).
• Collaborate with the grid modelling team to formulate network models and constraints as optimisation problems.
• Build scalable optimisation solutions that perform in real-time or near-real-time contexts.
• Establish best practices for optimisation model development, validation, and monitoring.
• Contribute to technical strategy for data science, optimisation capabilities and future applications.

Skills

Optimization fundamentals

Linear optimization

Data science foundations

Senior/Staff level experience

Software engineering

Tools

Pyomo

CBC

Gurobi

CPLEX

OR-Tools

Databricks

MLOps

Job description

Gridsight is seeking a Senior/Staff Data Scientist (Optimisation) to design, implement and run optimisation engines powering modern dynamic electricity grids. You will forecast grid state, manage constraints, and assess renewable connections in rapid timeframes.

The role demands extensive experience in linear and constrained optimisation, strong Python programming, and hands-on use of solvers in high-performance environments. Remote, hybrid or in-office work options available across Australia.