Spatial Data Scientist - [Archived Advertisement]

The Opportunity

• Are you a Data Scientist that wants to make a difference to our community?
• Provide key science to support our community’s sustainability and resilience to natural disasters.
• Join CSIRO and support Australia's premier scientific organisation!

CSIRO has been an integral part of Australia's response to the devastating impacts that bushfires have had on our communities, creating resilience, and predicting and preparing for bushfires.

As a crucial member to our team – and ultimately to the community – you will be joining the Bushfire Adaptation team, initially focusing on two main projects, the development of a national bushfire hazard mapping system and an app to collect information on the impacts of bushfire on the community.

The Spatial Data Scientist role will be responsible for processing various spatial and non-spatial data, including remotely sensed data streams. You will be involved in the design and implementation of data workflows and analytic systems that profile bushfire hazard and the context of bushfire loss.

Your additional responsibilities will include the following:

• Process and model spatial and environmental datasets.
• Analyse risk and hazards to develop mitigation strategies.
• Process large datasets using programming skills that include python, C, C++, C sharp and R.
• Develop workflows using ArcGIS or QGIS, to process and analyse geospatial data.
• Utilise parallel and distributed computing resources, including cloud platforms (AWS, Google and/or Azure).
• Implement statistical, physical and process models that report on environmental processes, including vegetation growth, biomass accumulation and dynamics, fire hazard and intensity.

Location:  Melbourne VIC or Brisbane QLD
Salary:  AU$85k – AU$96k p.a plus up to 15.4% superannuation
Tenure:  Indefinite Full-time
Reference: 75364

To be considered you will need:

• A recent Bachelor's or Master's Degree and/or equivalent experience in Science, Engineering, IT or a related field.
• A good understanding of the use and role of remote sensing and spatial data in multi-disciplinary projects that report on environmental processes.
• Experience in computer programming or scripting languages for automating workflows or the processing of geospatial data. Including the ability to learn and adapt to various:
  • Computing platforms (e.g. workstation, distributed, GPU computing) 
  • Programming languages (e.g. Python, R, C++, JavaScript) as required
  • Version control software. 
• Strong quantitative skills and a demonstrated ability to process, analyse and interpret large and complex datasets.
• Sound written and oral communication skills, including the production of scientific reports.
• The ability to work collaboratively within a team environment.

For full details about this role please review the Position Description

Eligibility

Appointment to this role may be subject to conditions, including provision of a National Police Check as well as other security, medical or character clearance requirements.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of balanced options for how, when and where you work.  Talk to us about how this role could be flexible for you. 

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 

About CSIRO

At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 

Join us and start creating tomorrow today!

How to Apply

Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications Close

4 August 2021, 11:59pm AEST