Job: Lead Data Scientist (18-month fixed term contract, full-time) | Curtin University

• $126,833 - $139,079 + 17% superannuation
• 18 month fixed term contract - full time
• Make a real difference to research outputs

Job Reference: 718998 The Curtin Institute for Computation (CIC) Computation now fundamentally underpins the majority of internationally competitive research across all fields and disciplines. As the demand for computational skills has grown, so too has the need for a dedicated institute that can support the research community. The Curtin Institute for Computation (CIC) was established to meet this increasing demand for computational modelling, data analytics, and visualisation. It initiates and fosters collaborative, interdisciplinary research and education programs with researchers. Our computational specialists assist in applying computational methods across the sciences, engineering, social sciences, health science, business, and the humanities to provide innovative solutions to complex problems. Curtin Open Knowledge Initiative (COKI) The Curtin Open Knowledge Initiative is developing a broad program of work on the theme of ‘open knowledge institutions’. The goal of our project is to develop tools and data that will allow universities to understand how effectively they are operating as open knowledge institutions; and to support strategic change in higher education and research. Combining data science and a critical perspective we are addressing questions of how to collect and manage data at a large scale, as well as how sharing this data and analysis will effect the ecosystem. Your new role We are seeking a detail orientated Data Scientist to join the Curtin Open Knowledge Initiative (COKI) team which sits inside the Curtin Institute for Computation. This role will support the COKI project deliver unique insights into bibliometric analysis, across Curtin and, increasingly, to external industry stakeholders. This position provides people and technical leadership to a team of data specialists who utilise a range of skills across mathematical, computer science and statistical disciplines in the provision of data analytics solutions for research and/or business areas of the University. Reporting to the CIC Director, the role will be to lead the COKI Team inside the CIC, as well as potentially other leadership responsibilities across the wider CIC team. Responsibilities will include:

• Applying data science methodologies to specific projects associated with the analysis of bibliometric data.
• In conjunction with the COKI team and CIC specialists, liaise with project partners and stakeholders to develop project scope, identify deliverables, timelines and risks, and to develop work plans.
• Using appropriate project management software initiation, planning and coordination of activities for assigned projects.
• Maintain communication with project partners and stakeholders throughout the duration of assigned projects, to ensure regular exchange of project related information and to initiate appropriate action for issues if they arise.
• Organise and facilitate project progress meetings within the COKI and CIC teams and with internal and external stakeholders.

• Lead the effective and efficient delivery of data analytics services which support and enhance research outcomes of COKI and the CIC.
• Provide leadership and mentoring to the team and fostering a work environment of high achievement, continuous improvement, and job satisfaction.
• Engage and influence key stakeholders on where data analytics can add value and identify opportunities for innovation in data exploration practices.

• Work with the COKI and CIC research groups to understand where data analytics can add value.
• Prepare required data sets for sophisticated statistical analysis, model generation and derivation of actionable insights.
• Provide technical leadership and identify and use suitable technologies, tools and algorithms to be applied to the research problems under consideration.
• Build credible statistical models from the data and use best coding practices to generate reproducible work.
• Explore and visualise the data to present the ‘story’ of the data in a meaningful way, and to a range of technical and non-technical audiences.
• Assist researchers or business areas to employ data management best practice.

• A postgraduate tertiary qualification in statistics, mathematics, computer science or related discipline with considerable relevant experience or an equivalent combination of relevant experience and/or education/training.
• Demonstrated technical and people leadership skills to effectively manage a team of highly skille