About the agency
The Asbestos and Silica Safety and Eradication Agency (ASSEA) is a small agency that was established in 2013 to oversee national actions to improve asbestos awareness and the effective and safe management, removal, and disposal of asbestos. This involved coordinating the implementation of the Asbestos National Strategic Plan.
In December 2023, the agency's functions were expanded to include silica through the Amendment of the Asbestos Safety and Eradication Agency Act 2013. The agency's name changed to the Asbestos and Silica Safety and Eradication Agency.
Our role is to assist in the prevention of exposure to asbestos fibres and respirable crystalline silica, to eliminate asbestos and silica related disease in Australia and the devastating impacts they create. We do this by coordinating the implementation of the national strategic plans for asbestos and silica. In doing so we are fortunate to work alongside other government agencies, employee and employer representatives, technical experts, the research community, impacted families, and partners, all motivated by the same outcome.
We are a non-corporate entity under the Public Governance, Performance and Accountability Act 2013 (PGPA Act). Our Chief Executive Officer is appointed under the Asbestos and Silica Safety and Eradication Agency Act 2013 (the Act) and performs functions in accordance with that Act.
About the role
The Data Scientist will work, as part of our Research, Evaluation, and Data team, on projects and strategies related to ASSEA's core functions. This includes managing the development and implementation of data science projects to provide insights, analysis, and modelling that informs ASSEA's policy and operational decisions, and enables agency influence and support for our national and international partners. The role requires an innovative and strategic thinker who can manage complex datasets, apply advanced analytical techniques, and translate data into actionable and translatable intelligence.
This role requires a high level of expertise in data science, statistical analysis, machine learning, and data visualisation. The successful candidate will collaborate with various internal and external stakeholders to develop solutions that meet the strategic goals of the Agency.
Relevant tertiary qualifications, and experience aligned to the functions is highly desirable. Experience working:on public health issues from either a workplace, environment or community perspective; in government or similar organisations; and/or in data analytics would also be an advantage.
The key duties of the position include: Lead and manage data science projects, from concept, scoping and design through to delivery and implementation, ensuring alignment with the Agency's strategic objectives. Apply advanced statistical and machine learning techniques to analyse complex datasets and provide actionable insights to support policy and operational decisions. Develop predictive and prescriptive models to solve policy challenges, optimise service delivery, and inform resource allocation. Provide technical leadership, direction, and support to ensure project success. Collaborate with cross-functional teams, including external stakeholders to ensure data science projects are integrated into broader government initiatives. Take responsibility for the development and implementation of data governance frameworks, ensuring data quality, security, and ethical use of data, including data sovereignty for Aboriginal and Torres Strait Islander peoples. Communicate technical results and findings clearly and effectively to non-technical audiences, including senior executives, policy makers and community groups, through reports, presentations, and data visualisation tools. Stay abreast of emerging trends and innovations in data science and analytics to ensure the Agency adopts best practices and cutting-edge methodologies. Identify opportunities for the use of data and analytics to improve Agency outcomes, including service delivery. Ensure compliance with relevant government policies, standards, and frameworks related to data management and security. Demonstrate organisational flexibility and cohesion by undertaking other duties as directed. #J-18808-Ljbffr