Spatial Statistician

**Join us in our mission to support a healthier planet.**

CarbonLink is a pioneering company aiding Australian primary producers and landholders in their journey to sequester carbon and regenerate landscape. Regenerative agricultural practices have tremendous potential to combat climate change by drawing down and removing large quantities of atmospheric carbon dioxide into the soil, in addition to increased productivity of farmland, draught resilience, soil health and biodiversity.

CarbonLink has generated over 80% of Australia's soil carbon credits. We bring over a decade of industry-leading experience, ground-breaking technology, streamlined processes, and unparalleled client service to the table. We combine industry leading measurement and modelling for Monitoring, Reporting and Verification approaches with practical on-farm advice to maximise project outcomes. Our diverse team includes machine learning researchers, software engineers, scientists, GIS experts, agricultural and soil specialists, and carbon project advisors.

**The Opportunity**

As a Spatial Statistician, you will support a range of projects involving the spatial analysis of soil data, statistical sampling design, and integration of remote sensing technologies. You’ll be working closely with scientists, software dev ops, ML ops, and other data specialists in a collaborative, fast-paced environment.

**What you'll bring to Carbon Link**

As a Spatial Statistician, you will be providing technical suggestions, helping make decisions and collaborating with scientists, software engineers and stakeholders in the company.

**Your Responsibilities**:
- Perform and document spatial analysis of soil attributes across varying landscapes and scales.- Design, evaluate and document statistically sound soil sampling frameworks.-
- Integrate drone-based LiDAR and remote sensing maps with soil attribute data.- Support spatial models to understand and predict soil characteristics.-
- Work closely with data scientists, software engineers, and domain experts to deliver spatial research milestones.

**Required Attributes and Experience**- Strong problem-solving skills and the ability to thrive in a small, agile team environment.- 3+ years of experience or recent tertiary education with a consistently high GPA in multivariate statistical analysis.- Bachelor’s or Master’s Degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related field. Equivalent professional experience will also be considered.- Strong skills in scientific writing and developing oral presentations for both technical and non-technical audiences.- Proficiency in programming language, such as Python, R, SAS, SPSS, Julia, Matlab.

**Desirable (Nice to Have)**- Spatial statistical experience preferably in an environmental or agricultural context.- Exposure to modern multivariate sampling designs.- Experience with spatial tools such as QGIS or similar GIS platforms.- Familiarity with version control systems like Git.- Experience working with soil data, environmental datasets, or remote sensing technologies.- Exposure to machine learning or process models.

**You are**:
- Keen to learn from those around you and eager to share your knowledge with the team, fostering a growth mindset.- Aligned with our mission and values, demonstrating them through your working practice.- Self-motivated and capable of working independently, taking the initiative to ensure that you have everything you need to work efficiently.

**Location**

Our office is located in the Brisbane CBD, Australia, and 100% WFH is available for the right professional. Occasionally, you may be invited to travel to our lab or visit a customer's farm.

**Our Culture**

We are committed to creating an inclusive and collaborative work culture. At CarbonLink, we believe that diverse teams lead to better results and a better world. We are dedicated to creating a culture of psychological safety, where everyone feels comfortable sharing ideas and taking calculated risks.

Join us at CarbonLink and play a key role in our mission to have a positive impact on the environment and the agricultural industry.