We’ve built the world-leading analytics platform to accelerate the transition to renewable energy.

<aside> 1️⃣ >40% of ANZ utilities are now Gridsight customers, representing 5 million households! We’ve become the market leader in New Zealand and are on-track to win Australia too. We need to convert our ANZ market lead and scale up internationally ASAP.

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<aside> 2️⃣ We’ve built a rockstar early team that loves working together. We’re also already default alive which means Gridsight isn’t going anywhere anytime soon. We're now hiring a handful of new technical and commercial superstars to supercharge our growth.

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<aside> 3️⃣ A key hire is ****a world-class Senior Data Scientist & Engineer (read: you).

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You are the perfect fit. You’ve got the skills and we know you’re “one of us”.

Skills

<aside> ✅ Real-time data dynamo 📈

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<aside> ✅ Applied ML 🧠

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<aside> ✅ Problem solver 🎯

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Culture

<aside> ✅ Coffee Connoisseur ☕

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<aside> ✅ Foody 🥙

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<aside> ✅ Musical 🎹

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You'll have impact from Day 1️⃣

<aside> 🕐 In 1 month

You will have unlocked immediate value for one of our most requested features, PV Hosting Capacity, by optimising Gridsight’s exisiting data engineering pipeline for ML. This will allow us to efficiently pass large quantities of timeseries data through for model training and inference.

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<aside> 🕒 In 3 months

You will have scaled Gridsight’s model-free machine learning based power flow across entire distribution networks (up to 10k ML models). This will have unlocked huge value for our customers, with the ability to determine the capacity for renewables at each node of the distribution network.

You will have significantly matured our MLOps and will have implemented methods for managing model lifecycle using tools such as MLFlow.

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<aside> 🕕 In 6 months

You will be leading the development of Gridsight’s near real-time dynamic operating envelope (DOE) engine, where we combine ML models with mathematical optimisation to calculate and subsequently send control signals to solar PV, battery and electric vehicle systems to reduce network constraints.

You will have made significant contribution to Gridsight’s near real-time data streaming infrastructure and will have designed and implemented the necessary architecture for real-time calculation and publishing of DOEs.

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<aside> 🕛 In 12+ months

You will be leading a team of data scientists and engineers applying machine learning and optimisation techniques for host of online and offline analytics across the Gridsight platform. You will have matured our real-time DOE engine to a world leading product and the best in class across Australia.

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