Data Scientist
Data Scientist
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Job Description
Data Scientist
Department:Operations
Division:Modelling & Engineering
Reference number:12415
AEMO at the Heart of Energy
AEMO is Australias independent energy system and market operator and system planner. AEMOs 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.
About the role
Were looking for a skilled and motivated Data Science Engineer/Analyst to join our Power System Applications team within the Modelling & Engineering this role youll contribute to the development and enhancement of real-time analytics and machine learning solutions that support the operation and analysis of Australias electricity grid. Youll work closely with cross-functional teams to improve control room tools integrate diverse data sources and build intelligent systems that respond to power system events.
What you will be doing
- Develop and maintain data pipelines and automation scripts to support control room applications.
- Cleanse and transform historical and real-time data for machine learning model training and evaluation.
- Collaborate with cross-functional teams to integrate multiple data sources and build labelled datasets for power system event analysis.
- Contribute to the uplift of alarm management capabilities and other initiatives under the Operations Technology Program.
- Support testing and deployment of applications as well as creation of synthetic data in the Energy Management System (EMS) softwares digital twin simulation environment (DTS).
- Assist in maintaining a knowledge base of ML techniques mapped to Power System use cases and contribute to the internal analytics forums.
- Assist in maintaining commonly shared data structures such as the graph network format of power systems network topology and support the evolution of schemas such as shared Taxonomy and Ontology representations.
- Work closely with senior engineers and technical lead to ensure robust scalable and resilient data science solutions.
What you will bring to the role
- Tertiary qualifications in Data Science Electrical Engineering Applied Mathematics or a related field.
- Experience with Python and relevant libraries for data science and machine learning.
- Understanding of electrical power systems and transmission networks (flexible).
- Familiarity with data cleansing feature engineering and model evaluation techniques.
- Ability to work with time-series data and correlate events across multiple systems.
- Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
- Exposure to software development practices including version control and automated testing.
- Please provide links to your achievements on Kaggle or similar online communities.
- Shortlisted candidates will be given one or more machine learning problems to solve.
In return some of our benefitsto you
- Flexible working: work from home part timejob share hybrid optionsand additional leave options
- Professional development via projects industry networksjob 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).
About Our Process
AEMO values diversity and inclusivity in the workplace welcoming applications from all backgrounds without regard to age disability gender sexual orientation parental status race religion and our First Nation peoples. We are dedicated to accommodating applicants needs during the application or interview process simply let us know by emailing .
For more information on the Australian Energy Market Operator (AEMO) please refer to visit one of our social media channels below.
Employment Type
Full Time
