Closing Date:Friday November 14th ****
face2face reference:******
Locations:Many locations across Australia
Contract Duration:Until 30 June ****
Why Join?
Work on a high-impact, large-scale data science project using R, Spark and Azure Databricks.
Flexible location options across Australia with a contract through to 30 June ****.
Opportunity to contribute to complex modelling and analytics in a up-to-date cloud-based environment.
About the Role
We are seeking an experienced Data Scientist to support the transition of a complex microsimulation model into a scalable, production-ready environment.
You will leverage your expertise in R, Databricks, Spark, and data engineering to optimise model performance, develop robust data pipelines, and implement best-practice testing and governance processes within a cloud-based platform.
Key Responsibilities
Review, optimise and refactor complex microsimulation model code written in R.
Develop and maintain scalable data pipelines using Azure Databricks and Spark technologies.
Improve model performance and transition analytical solutions into production.
Implement testing, validation, version control and governance processes.
Collaborate with technical and business stakeholders to deliver high-quality data solutions
Skills & Experience
Strong experience with R programming, including developing and maintaining complex code and custom functions
Hands-on experience with Azure Databricks, Spark, and productionising analytical or modelling solutions.
Strong understanding of software engineering best practices, including testing, validation and version control.
Excellent stakeholder engagement and communication skills.
Desirable: Experience with Azure Data Factory, Unity Catalog, ABS/labour market data, or previous Australian Government experience.
Must hold a Baseline Security Clearance
Existing baseline security clearance is a mandatory requirement for this position.
#J-*****-Ljbffr