As our Data Scientist (AgTech), you will:
• Work collaboratively within a team of scientists and technical staff from within the department and with other research organisations, such as universities and private collaborating organisations.
• Apply statistical and/or artificial intelligence methodologies to solve applied problems arising in agricultural research.
• Work closely with agricultural engineers, researchers, and domain experts to understand business needs and translate them into data-driven solutions.
• Develop and implement predictive models using machine learning and artificial intelligence to optimise agricultural processes and outcomes.
• Analyse complex datasets using a range of statistics software packages such as R and python.
• Build algorithms and statistical models to predict critical agricultural metrics.

What we are look for:
We are seeking the best suited candidate for the role. We will achieve this by:
• assessing your eligibility and suitability to fulfill the role requirements (including, where relevant, the way you carried out previous roles)
• evaluating your potential contributions to the department and how your involvement would uphold our commitment to equity, diversity, respect, and inclusion.

Mandatory qualifications
• Bachelor's Degree or higher in Agricultural Science, Data Science, Computer Science or in a field relevant to the position (e.g. bioinformatics, mathematics, statistics, artificial intelligence) from a recognised tertiary institution or equivalent academic qualifications.
• For international qualifications, the applicant will need their qualification assessed, to determine comparability with the Australian Qualifications Framework.

The Department of Employment, Small Business and Training can assist with these assessments for Queensland residents.

Find purpose you feel, impact you see and legacy you bring to life.
Join us and be a part of preserving Queensland's agricultural landscape.
Visit www.daf.qld.gov.au to learn more about us and what we do

Applications to remain current for 12 months.

Job Ad Reference: QLD/621520/25

Closing Date: Wednesday, 05 March 2025