Data Science Lead

About GridsightElectricity 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 builds the analytics platform that makes this possible. We're already embedded with most of Australia's major distribution networks and have contracts with some of the largest investor-owned utilities in the United States. We're well-funded, growing quickly, and positioned at the centre of a global shift toward dynamic grid management.The RoleWe're hiring a Data Science Lead to build and run the data science function at Gridsight.You'll manage a team of data scientists (initially 3+), set the technical vision and strategy for the function, and establish the practices that enable high-quality, production-ready work. You'll work closely with our CEO who has deep technical experience in the domain, and our VP of Engineering to ensure data science capabilities align with product and commercial goals — and you'll stay hands-on technically, contributing directly where needed.This is a leadership role with real scope. You'll shape how data science operates at Gridsight: team structure, workflows, standards, and technical direction. You'll guide work across grid modelling, optimisation, and emerging capabilities. And you'll be a key voice in translating customer problems into technical roadmaps.We're building toward a layered vision of grid analytics, optimisation engines, and decision/recommendation systems. You'll be responsible for developing the team and capabilities to deliver it.What You'll DoManage and develop the data science team, fostering technical growth and high performanceSet data science vision and strategy in collaboration with engineering leadershipEstablish best practices across model selection, experimental design, validation, and deploymentContribute hands-on to technical work where needed, flexing into gaps across modelling, optimisation, or new capabilitiesCollaborate with commercial and product teams to translate customer needs into technical roadmapsGuide the team on appropriate model complexity — balancing rigour with practical deliveryContribute to technical strategy and architectural decisions alongside engineering leadershipFoster a collaborative, learning-oriented culture in a scale-up environmentWhat You'll BringExperience building, managing, and developing data science teamsStrong data science foundations: statistical modelling, ML, experimental design, and the judgment to set standards and guide technical decisionsExperience shaping data science functions, workflows, and team structuresAbility to collaborate with non-technical stakeholders and translate business problems into technical solutionsHands-on technical capability — you can contribute directly, not just overseeLeadership experience in a senior or management capacityWhat Would Set You ApartExperience with decision engines or recommendation systemsGrid domain knowledge or energy sector experienceOptimisation expertiseScale-up or high-growth company experienceSoftware engineering and MLOps depthExperience managing distributed or remote teamsWhat We Offer$190,000–$230,000+ depending on experience, plus equityRemote-first, with head office in SydneyA talented team of engineers, data scientists, and power systems specialists working on hard problems that matterSound Interesting?We'd love to hear from you! Apply directly and we'll be in touch shortly.