- Fantastic opportunity for a skilled data scientist to work across a range of research projects
- Located in Chippendale
- Full time, 3 x fixed term roles are available (up to three years), base salary $93K and generous superannuation
About the opportunity
The role of Data Scientist at the Sydney Informatics Hub (SIH) is to support translational data science across all faculties of the university through a professional consulting service model of project delivery. This role will apply, advise in the use of, develop and implement data science algorithms and statistical methods, software tools and data systems to support research opportunities across research areas such as science, engineering, health and business. Three Data Scientist positions are available at HEO Level 7: a full-time 3-year position, a 50% FTE part-time 3-year position, and a full-time 1-year position.
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for Data Scientists who demonstrate:
- Tertiary education in in a computational area of study (computer science, computational statistics, engineering, physics, biology, for example) preferably to postgraduate level
- A strong understanding of modern data analytics and data science methods and tools
- A working knowledge of modern data-centric programming languages including one of Python and/or R
- Experience in the application of data science, statistical modelling and machine learning technologies to a variety of complex problems and data sets
- Experience in eliciting user requirements through consultation and problem solving, to design solutions that meet time constraints
- Knowledge of appropriate data management and version control tools such as git
- Experience in planning and developing complex data processing pipelines, working with a variety of data sources and destinations, ranging from file systems to enterprise data systems
- Good entrepreneurial spirit, showing a willingness and enthusiasm to take SIH results to a wider community
The University of Sydney is promoting advanced data science research capabilities of relevance to all its Faculties and Schools. The Sydney Informatics Hub (SIH) is a core research facility of the University of Sydney. SIH aims to promote, develop and apply data science and machine learning technologies across all fields of academic study - including business, science, health, engineering, and the humanities. SIH comprises a team of data science and software research engineers tasked with the challenge of translating the best data science into tools, platforms and systems to assist in research and outcomes across all these fields.
Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students.
We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.
How to apply
For more information on the position and University, please view the position description available from the job’s listing on the University of Sydney careers website.
All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number 2141/1019F to apply.
Please note: Visa sponsorship is not available for this position
Closing date: 11:30pm, Monday 4 November 2019
The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
© The University of Sydney
The University reserves the right not to proceed with any appointment.