Senior Data Scientist

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AEMO is Australia's independent energy system and market operator and system planner. AEMO's purpose is to ensure safe, reliable and affordable energy today, and enable the energy transition for the benefit of all Australians. Australian governments are now committed to a net zero economy for Australia by 2050 and our vision is to enable this. We have the once-in-a-lifetime opportunity to co-design the future of our energy systems, and our core values revolve around character, commitment, and connection. Join us as we contribute to this significant transition in the energy sector.

Division: Operations
Department: Modelling & Engineering
Reference number: 12447
Engagement type: Permanent

Our team's bread and butter are the engineering apps and real-time analytics tools that help the control rooms make sense of the firehose of in-streaming data, by combining and visualising many different data sources intelligently. The AEMO control rooms monitor and operate the electricity grids and gas grids 24/7. With AI trending relentlessly, and the integration of renewables providing a steady stream of challenges to solve, there has never been a more exciting time to be in the thick of it.

The role entails working on projects and BAU initiatives, ranging from data preparation to full scale machine learning solutions. You will design, build, train, compare, evaluate, deploy and document, using the state-of-the-art advancements of the past decade. Some initiatives will involve other software developers and product team members. Some initiatives might be solo and autonomous. You will always work directly with the end users and SMEs. Most of the time the end users will be electrical engineers and analysts in Operations, i.e. a highly technical audience.

• Write robust Python code for novel machine learning use cases and match the most appropriate machine learning approaches to engineering problems and take the lead in brain-storming sessions.
• Set the bar and guide junior team members to follow best practices for ML.
• Create and maintain meta data for Operations data sources in the data catalogue and data virtualisation environments.
• Take ownership of sharable artifacts such as graph database of the electricity grid assets and instigate knowledge sharing sessions with the Analytics User Group.
• Shadow the PSA Technical Lead as second-in-command for ITIL Service Management processes like IT Change Management.

We're looking for someone who has grappled with the idiosyncrasies of many ML projects and who proudly wears the scars. Someone who stands their ground when inundated with hairy maths and dense academic papers, because their curiosity and excitement to solve problems always wins out. Someone who likes to collaborate, mentor, and exchange knowledge, and who is totally comfortable admitting when they don't know. An ability to sync up with the team's subtle but quirky sense of humour would be a bonus (fireship). Plus the ability to shrug off the inevitable hurdles with a bit of tongue-in-cheek mockery, then quietly forging ahead. relish the opportunity to take an initiative from inception all the way through to production deployment and support.

Your experience includes

• Successful ML projects that are running in production.
• Many of the ML Python libraries such as Jax, Scikit-learn, PyTorch, TensorFlow, Wandb etc.
• Data cleansing, normalisation, one-hot encoding, and text embedding.
• Understanding graph data and time-series, and shaping them for ML models
• Deploying models, working with data pipelines, supporting production systems.
• Wrangling hardware drivers and config to offload matrix computations to GPU / TPU / NPU.

At any stage a candidate may be asked to complete a data science challenge.

If your resume mentions any showcase activities, for example on Kaggle, it will be taken into account.

• Flexible working: work from home, part time, job share, hybrid options, and additional leave options
• Professional development via projects, industry networks, job rotation, study assistance and more.
• Give back with up to 4 days of volunteering leave per year.
• Reward your hard work with annual performance bonuses (subject to eligibility).
• Embrace a healthier you with our wellness program, discounted health insurance, gym perks and our comprehensive Employee Assistance Program (EAP).

At AEMO we are committed to creating a diverse and inclusive workforce. We welcome people of all backgrounds, including people with disabilities and neurodivergence and those who identify as Aboriginal and/or Torres Strait Islander. If you have any accessibility requireme nt s to support you during the application or interview process, simply let us know by emailing us a t

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Utilities