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This opportunity is closed for applications.
The deadline was Tuesday 9 October 2018 at 6PM (in Canberra)
- Opportunity ID
- Deadline for asking questions
- Thursday 4 October 2018 at 6PM (in Canberra)
- Closing date for applications
- Tuesday 9 October 2018 at 6PM (in Canberra)
- Tuesday 2 October 2018
Write a summary of your brief The Bureau is seeking a data scientist to work with our numerical weather prediction teams in the design and development of an analysis system that will log, store, analyse and present information to assist in evaluating the quality of weather observations and model forecasting, and potentially alert on significant issues.
What is the latest start date?
How long is the contract? 30/06/2019
Where can the work take place?
Who will the specialist work for?
Bureau of Meteorology
How much can you spend per day? The Bureau will consider candidates up to a rate of $1200 per day (including GST)
About the work
Who will the specialist work with? The Data and Digital team and weather observation subject matter experts.
What will the specialist do? Contribute to design and development of a software system to analyse and prepare statistical information for data visualisation.
Work with front-end tools, frameworks and libraries, and utilising a modern web application architecture to construct suitable web-based dashboards for data visualisation.
Integration of scientific data and statistical data from numerical weather prediction systems into a database for the purposes of statistical analysis.
Contribute to the development of data analysis methods that will be used by a quality-monitoring and analysis system for numerical weather prediction models.
Any additional relevant information? The Bureau of Meteorology is Australia’s national weather, climate and water agency in the Environment portfolio of the Australian Government.
The Bureau is undertaking a major program of works to upgrade its numerical weather prediction capabilities through the introduction of Australia’s next generation of weather prediction models into its supercomputing environment.
An essential part of the Bureau’s core mission, this work involves multiple teams with diverse backgrounds working across a range of specialist disciplines to develop and run weather models: atmospheric science research, scientific computing on high-performance computing systems, and software engineering.
Every successive weather model upgrade seeks to use more weather observations (such as from new satellites) in a more sophisticated manner to improve numerical forecast quality. This has led to a considerable increase in the demands on the Bureau to monitor and identify potential quality issues with weather observations and to be able to analyse how the various types of quality issues might affect forecast quality.
There is also an increasingly large amount of diagnostic information generated by a weather model on how weather observations have been used, and this information is often key to troubleshooting problems that can occur with operational weather models.
The growth in complexity and volume of this information is demanding more sophisticated data analysis techniques to support automatic monitoring and alerting. In addition, the presentation of relevant information on dashboards is required by both the development and operational support teams for our weather models.
The Bureau is seeking a data scientist with a keen interest in these topics to work with our numerical weather prediction teams in the design and development of an analysis system that will log, store, analyse and present information to assist subject-matter experts in evaluating the quality of weather observations and model forecasting quality, and potentially alert on significant issues.
Where will the work take place? 700 Collins Street, Docklands, Victoria 3008
What are the working arrangements? The successful candidate will be primarily located at the Bureau's Head Office located at 700 Collins Street, Docklands, Victoria.
Is security clearance required?
Additional terms and conditions CVs must be debranded and not contain candidate's rates.
Additional summary of all candidate's (including rates) to be provided separately.
Skills and experience
Buyers will use the essential and nice-to-have skills and experience to help them evaluate sellers’ technical competence.
Essential skills and experience
- A university degree (or equivalent work experience) in a STEM field such as science, mathematics, computer science or economics.
- Experience in working with complex data and its visualisation.
- Experience with working with data in a programming language or framework such as R or Python.
- Knowledge of essential statistics such as probability distributions, correlation coefficients, variance, and error metrics.
- Familiarity with web-based data frameworks such as d3js, plotly and leaflet would be an advantage (specific frameworks are not relevant – experience with any comparable framework is sufficient).
Nice-to-have skills and experience
- A passion for science, data science, data visualisation and machine learning.
- Be familiar with understanding an audience’s information needs and designing a variety of charts or infographics to present relevant views of numerical and statistical information for them.
How sellers will be evaluated
How many specialists will you evaluate?
- Comply with all Bureau work, health and safety policies and procedures, and take reasonable care for your own health and safety and that of employees, contractors and visitors who may be affected by your conduct.
- Commitment to APS Values, Employment Principles, Code of Conduct and the Bureau's Social Justice Strategy.
- The ability to work effectively and flexibly in an extensive team-based environment is essential, as there are several multi-disciplinary teams working on the Bureau’s next generation of operational weather prediction models for whom the contribution of a data scientist would be highly valued.
Area of expertise
Data science and management
How will you verify the specialist is right for the role?
- Work history
How will you evaluate the specialists?
No questions have been asked or answered yet.