Data Scientist - Centre for Work Health and Safety
- Fantastic ongoing/permanent clerk grade 7/8 opportunity
- Salary range - $101,947 - $112,849 + superannuation and leave loading
- Work with a truly flexible, multidisciplinary team that values the contributions and expertise of all its members
- Flexible work arrangements, locations and flex-leave benefits with one team office day per week
- Location is Gosford or Parramatta - we practice healthy hybrid habits
This role is an exciting opportunity to join the Centre for Work Health and Safety to help develop solutions that prevent harm in the workplace and support better work health and safety regulation. Guided by its Research Blueprint, the Centre drives collaboration among academia, business, workers and government to create knowledge for practice and a smarter approach to work health and safety.
As a key member of the Centre's Research and Development team, you will be supporting the delivery of data analytics projects and programs in partnership with key stakeholders to develop solutions and unearth pragmatic insights to inform policy and practice, as well as innovative approaches to improve work health and safety outcomes for the people of NSW.
Some of the exciting projects you will be working on include:
- Investigating national trends and developments in work health and safety
- Identifying high-risk workplaces using predictive modelling and machine learning
- Developing tools for tracking progress against regulatory strategic goals
- Designing and maintaining business intelligence dashboards
- Collect, filter and clean large datasets from multiple sources to develop, implement and maintain databases and systems.
- Identify, analyse and interpret complex data sets and communicate trends and insights as commentary, insights and visualisations in a range of formats (e.g., web, dashboards, performance reports and research reports).
- Develop and maintain relationships through effective communication, negotiation and issues management to ensure deliverables are met.
For more information on the role and its accountabilities, click here to view the role description. Please be advised that this is the correct RD for this role.
- Applying quality assurance, validation and data linkage whilst identifying and embedding relevant and potentially new sources of data.
- Responding flexibly to requests and provide advice while balancing competing demands.
- Providing concise advice to users who may not understand the context, assumptions and caveats associated with the analysis.
- Relevant tertiary qualifications Statistics, Mathematics, Social Science, Actuary, Engineering, Computer Science, Econometrics, or equivalent experience.
- Practical experience managing, analysing, summarising and interpreting large complex data sets; supporting the delivery of visualisations, tables and dashboards.
- Strong capability and experience in the use of statistical software and data tools (e.g., Microsoft Power BI).
- Ability to collaborate and communicate complex information to peers and a range of diverse stakeholders
For enquiries regarding this position please contact Angelica Varhammar via email@example.com
Closing date: Wednesday 8th February [at 9.59am]
What we need from you
To start your journey towards becoming our Data Scientist, please click on the link below and attach your resume (max 5 pages) and cover letter (max 2 pages).
In your cover letter please share your motivation for applying for this position and your relevant skills.
A talent pool may be created from this recruitment process to fill future ongoing and temporary opportunities.
Salary Grade 7/8, with the base salary for this role starting at $101,947 base plus superannuation
Click Here to access the Role Description. For enquiries relating to recruitment please contact Thomas Hanbury via firstname.lastname@example.org.
Visit the Capability Application Tool to prepare for the recruitment process by accessing practice application and interview questions based on the focus capabilities listed in the role description.
Closing Date: Wednesday 8th February [at 9.59am]
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