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Hiring Now | Find your passion. Feel your purpose.Were one of the largest plantation growers in Australia and proud of our Queensland heritage.Here, youll find real people who get stuck in. People who are passionate about their work and what it means, and about the future that they can shape together.Can you see yourself being part of a business that values its people, leads the industry in delivering sustainable timber, actively deploys cutting-edge technology, and strives to ensure that every day everyone returns home safe?Are you ready to part of a high performing team in an organisation that is committed to a culture of diversity and inclusion whilst also ensuring your wellbeing is looked after by offering work life balance? If this sounds like you, we have an exciting opportunity for you!This exciting opportunity comes in the form of our newly developed Resource Data Scientist role, a role which has been designed to develop and maintain high quality standards for forest resource data management.Here''s what you need to thrive in this role:Demonstrated knowledge in the field of statistics including regression analysis and sampling methods;Demonstrated knowledge in machine learning including supervised and unsupervised learning (e.g. linear regression, decision trees, clustering), model evaluation and model tuning;Demonstrated knowledge in data wrangling and data cleaning including handling missing data, normalising, formatting and combining datasets;Knowledge and experience with data visualization tools and an understanding of best practice for presenting data through graphs, dashboards and reports;Technical skills with programming and database languages including Python, R, and SQL;Experience with management of large datasets in a cloud environment such as MS Azure;Experience handling geospatial data in the ESRIGIS suiteInterest in remote sensing data including satellite imagery and airborne LiDAR ; andWorking rights in Australia or willingness to obtain.A degree in Data Science, Statistics, Mathematics, Physics, Forestry, Environmental Science, Geospatial Science, Information Technology, Engineering or related discipline;Unrestricted C class drivers licence; andAt least three years relevant work experience in a data science, statistics, forest resource planning, biometrician, geospatial or similar field.Closing date: Monday 14 July 2025Location: North Lakes QLD preferred, but negotiable - check out our various office locations .We are proud to be recognised as an Inclusive Employer by the Diversity Council Australia and are a workplace where everyone is treated fairly and with respect. All members of our community with people from diverse experiences and backgrounds, Aboriginal and Torres Strait Islander people, and people with disabilities being strongly encouraged to apply. #J-18808-Ljbffr