Principal Data Analyst

Primary Industries; Brisbane; On-site; AUD 150,000 - 190,000; Full time

Job summary

Biosecurity Queensland is seeking a Principal Data Analyst in Brisbane to develop advanced ML models and CV solutions for invasive species management. You will plan RPAS aerial surveillance, manage spatial imagery data and collaborate to deploy scalable data workflows.

Experience with Python, R, SQL, Power BI and Azure is advantageous, along with Agile, PySpark/Scala and Atlassian tools. This role supports DPI's biosecurity mission across Queensland.

Qualifications

• Experience developing ML solutions and pattern recognition using high-res aerial imagery.
• Proficiency in Python, R, SQL and data visualization tools.
• Experience with Azure, Agile, PySpark or Scala, and Atlassian software desirable.

Responsibilities

• Develop, deploy and refine advanced ML models, CV architectures and modelling techniques to optimise biosecurity decisions.
• Plan aerial surveillance operations using RPAS and manage spatial/imagery datasets for ML applications.
• Establish image annotation and verification processes, evaluate model performance and monitor false positives/negatives.

Skills

Machine learning

Computer vision

Statistical modelling

Python

R

SQL

Power BI

Azure

PySpark

Scala

CNNs

RPAS

Image annotation

Data visualization

Jira

Confluence

Tools

Jira

Confluence

Job description

Bring legacy to life. For the future of Queensland and the world.

As a Principal Data Analyst, develop advanced machine learning models and analytical solutions to improve the detection and management of invasive species across Queensland. Apply your skills in artificial intelligence, computer vision and complex data analysis to inform targeted biosecurity responses and protect Queensland's agricultural industries and natural environment.

Just imagine what you could achieve with us. #DPIcareers

Biosecurity Queensland (BQ) plays a leadership role in the biosecurity system in collaboration with its stakeholders. BQ leads the Queensland Government's efforts to protect our way of life, environment, biodiversity, human and animal health, industries and economy from plant and animal pest and disease threats.

Through supporting the collective efforts of our stakeholders and all Queenslanders, BQ will continue to protect our state and Australia from emerging plant and animal pests and diseases and effectively manage existing ones.

Invasive Plants and Animals (IPA) significantly affect the environment, agricultural production, infrastructure, human health, and our way of life in general. The IPA program directs, facilitates, and delivers strategic and targeted action to reduce the impact of invasive species in Queensland.

The Queensland Department of Primary Industries is leading innovative approaches to invasive species detection through the application of artificial intelligence, machine learning and advanced aerial surveillance technologies. As part of this investment, we are seeking a highly motivated and technically skilled professional to support the development of next-generation pattern recognition models that utilise high resolution aerial imagery to improve the detection, monitoring and management of invasive species across Queensland.

As our Principal Data Analyst, you will:

• Develop, deploy and refine advanced machine learning models, computer vision architectures and contemporary statistical modelling techniques to optimise operational decision-making and inform targeted biosecurity responses.
• Plan and deliver aerial surveillance operations using remotely piloted aircraft systems (RPAS), collecting and managing high-quality spatial and imagery datasets for machine learning applications, including Convolutional Neural Networks (CNNs).
• Establish image annotation and verification processes, evaluate model performance and monitor false positive and false negative rates, working collaboratively to develop scalable data and software workflows.

You will bring experience using a range of data visualisation tools, not limited to Power BI, and programming languages Python, R and SQL variants. You will have experience linking complex datasets and supporting data sharing platforms, warehouses and data lakes, and the ability to present clear and insightful analytics to non-technical audiences.

Experience with Microsoft Azure, Agile methodologies, PySpark or Scala, and Atlassian software is desirable. Relevant tertiary qualifications or equivalent demonstrated expertise in developing and deploying machine learning solutions are also desirable. Experience working in dense vegetation and rugged terrain will be highly regarded.

Why work for us

Learn why our people choose DPI and more importantly why they stay.

• Work with passion and purpose
• Have a tangible impact, for today and tomorrow
• Enjoy interesting, diverse work
• Follow your path wherever it leads
• Get the flexibility and support you need to thrive
• Be part of our one, diverse DPI

https://www.dpi.qld.gov.au/about/who/people

Find purpose you feel, impact you see and a legacy you bring to life.

Join us and help preserve and protect Queensland's biosecurity.

Visit www.dpi.qld.gov.au to learn more about us and what we do.

Applications to remain current for 12 months.