STREAM Data Scientist / Environmental Data Specialist (Mid-Level)

Team: STREAM – Science, Technology, Research, Ecology, Assessment & Monitoring
Reports to: STREAM Science Coordinator
Contract: 2-year fixed-term. Full-time preferred (with 6-month probation), with potential to develop into ongoing opportunity.
Location: Mulloon based, preferably ACT/south-eastern NSW (flexible hybrid; field visits and remote work as needed) 

1. Purpose of the Role

The STREAM Data Scientist will lead the development and integration of spatial, sensor, and ecological data to enhance Mulloon’s evidence base for landscape rehydration, regenerative agriculture and climate resilience. 

Works closely with the STREAM Science Technician to ensure data collected in the field is accurately managed, processed and analysed for reporting and research. Works across projects such as the Mulloon Rehydration Initiative (MRI), LiFT and TIMME, and will apply data science, modelling and statistical analysis to translate complex environmental datasets, including remote sensing, hydrological and ecological monitoring data into actionable insights that inform catchment management, research and reporting. 

2. Key Responsibilities

Data Science and Modelling 

• Work with the STREAM Science Technician to develop and maintain robust QA/QC and metadata standards across all monitoring systems. 
• Develop an in-depth understanding of the data flow from data capture/sensor acquisition, via the systems above, and investigate and implement data management strategies and solutions. 
• Develop, test and maintain analytical models to assess landscape function, water balance, vegetation dynamics and ecological indicators. 
• Integrate and analyse multi-source datasets, such as remote sensing, groundwater, weather, soil moisture and biodiversity surveys. 
• Apply machine learning or statistical methods to derive metrics such as NDVI trends, vegetation resilience indices and hydrological response models. 
• Support the design of data pipelines for automated processing, validation and reporting. 

Spatial and Environmental Analysis 

• Produce maps, dashboards and data visualisations for technical reports, landholder communications and stakeholder presentations. 
• Collaborate with partners, such as CiboLabs, HydroTerra, ANU, Sydney University and the Australian Rivers Institute to harmonise datasets and co-develop indicators of landscape condition. 

Data Management and Infrastructure 

• Design and maintain central data repositories with robust metadata and version control, such as GitHub, ArcGIS Online, or cloud storage. 
• Establish reproducible workflows using Python, R or SQL to ensure data transparency and interoperability across projects. 
• Support integration with external systems, such as BoM, CSIRO, NCI and government data portals. 

Reporting and Knowledge Sharing 

• Contribute to technical documentation, metadata standards and visual dashboards to support internal reporting and partner collaboration. 
• Translate complex analyses into accessible summaries for landholders, policy audiences and funding partners. 
• Support STREAM publications and contribute to grant proposals and data visualisation products. 

3. Selection Criteria

Essential 

• Tertiary qualification in data science, environmental science, remote sensing, or a related quantitative discipline or relevant experience. 
• Demonstrated experience applying analytical or modelling techniques to ecological, hydrological or spatial data. 
• Proficiency in Python, R, or similar scripting languages for data cleaning, analysis and visualisation, and reporting platforms such as Microsoft Power BI. 
• Experience with GIS software (ArcGIS, QGIS) and spatial data processing. 
• Understanding of environmental systems and drivers relevant to Australian landscapes (e.g. soil, vegetation, water, climate). 
• Strong data management, documentation and communication skills, including the ability to present findings to both technical and non-technical audiences. 
• Proven ability to work collaboratively across interdisciplinary teams and partner organisations. 

Desirable 

• Experience with remote sensing data (Sentinel, Landsat, LiDAR, drones). 
• Field skills and capacity to work in isolated or remote locations and situations. 
• Knowledge of ecological or hydrological modelling frameworks, such as InVEST, SWAT, or machine learning approaches. 
• Familiarity with version control (Git) and cloud-based workflows. 
• Knowledge of challenges associated with implementing technology solutions. 
• Background in regenerative agriculture, catchment management, or nature repair monitoring. 

4. Attributes and Working Style

• Analytical and detail-oriented, with curiosity to explore new data approaches. 
• Able to balance scientific rigour with practical, field-driven insights. 
• Collaborative and supportive team member who contributes to STREAM’s shared science culture. 
• Enthusiastic about using data for environmental regeneration and community outcomes. 

5. Employment Conditions

• Salary range: $90,000 – $100,000 p.a. (plus superannuation), commensurate with experience. 
• Contract: 2-year term, with potential for ongoing appointment based on performance and funding. 
• Flexible hybrid work: Mulloon-based, with options for remote work and occasional field travel. 

6. About the STREAM Team

STREAM (Science, Technology, Research, Ecology, Assessment & Monitoring) is Mulloon Institute’s science and data hub. It supports the design, monitoring and reporting of rehydration projects across catchments and farms, integrating ecological fieldwork, hydrological instrumentation and remote sensing to build resilience in Australian landscapes. 

Your Next Step  

Apply by sending: 

• Cover letter addressing the selection criteria above
• Current resume highlighting relevant experience
• Email to:recruitment@mullooninstitute.org
• Questions? ContactSTREAM ScienceCoordinator: chrisinskeep@mullooninstitute.org  

Includes 6-month probationary period with annual reviews  

Applications close 15 March 2026. 

At Mulloon Institute, we are dedicated to creating healthy and resilient Australian landscapes through innovative rehydration and restoration techniques. Whether you’re a seasoned professional, a passionate researcher, or a dedicated volunteer, there are many ways to become part of our journey. Explore our job opportunities, research partnerships, and volunteering roles to contribute your skills and passion to a meaningful cause. Together, we can shape a sustainable future for our environment and communities.