Senior/Staff Data Scientist (Optimisation)

The Role We're hiring a Senior or Staff-level Data Scientist to design and build the optimisation engines at the core of our platform. This role sits at the heart of our work on calculating safe, real-time capacity for distributed energy resources within network constraints and turning those calculations into dispatch, resource allocation, and grid management decisions that affect how networks actually operate. This is applied optimisation work. You'll formulate constrained optimisation problems, implement algorithms, and build systems that run in real-time or near-real-time operational contexts. You'll work closely with the grid modelling team to translate network physics into optimisation constraints, and with software engineers to get solutions into production. What You'll Do Develop optimisation algorithms and engines for dynamic operating envelopes that manage DER capacity within network constraints Formulate and solve constrained optimisation problems across grid operations, resource dispatch, and network management Design solutions that balance competing objectives — safety, efficiency, customer impact, and operational constraints Collaborate with the grid modelling team to translate network models into tractable optimisation formulations Build optimisation systems that perform reliably at operational timescales Contribute to technical strategy and help establish best practices for optimisation development, validation, and monitoring What You'll Bring Strong data science foundations: statistical modelling, experimental design, model validation, feature engineering, ML techniques Deep optimisation expertise: constrained optimisation, operations research, linear programming, convex optimisation, mixed-integer programming, model predictive control, or metaheuristics 5+ years in data science, ML, or optimisation roles, with demonstrated impact at a senior or staff level Python proficiency and the ability to write quality code for optimisation algorithms and analysis What Would Set You Apart Understanding of electrical distribution networks, power systems, and grid physics Experience with market dispatch, energy economics, or resource scheduling problems Software engineering depth — system design, testing, deployment, MLOps Familiarity with optimisation solvers and frameworks (Pyomo, Gurobi, CPLEX, CBC, OR-Tools, etc.) Real-time or near-real-time optimisation system experience Understanding of DER integration challenges and VPP operations What We Offer $160k–$220k depending on experience, plus equity Remote-first, with head office in Sydney A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter Sound Interesting? We'd love to hear from you! Apply directly and we'll be in touch shortly.