Mathematics, Statistics & Information Sciences (Science & Technology)
Spectrum Ecology & Spatial (Spectrum) is a Perth-based environmental consultancy built on innovation, scientific rigor, and quality service.
We offer a comprehensive suite of capabilities in the fields of ecology, botany, zoology, and spatial sciences, and are world leaders in the application of remote sensing, information management, and machine learning technologies for environmental monitoring.
Spectrum is looking for a Senior Data Scientist to join the Spatial Ecology team.
The role will assist with the delivery of high-quality data and analytics in service of evidence-based ecological assessments, working alongside a team of passionate professionals devoted to achieving the best outcomes for our clients and the environment.
Why would you want to work with us?
Spectrum offers you the opportunity to join an experienced, growing team with a positive, friendly, and fun atmosphere, located in the heart of Leederville.
You will be exposed to some of the latest technologies employed in ecological surveys and monitoring and work on exciting, multidisciplinary projects across a wide range of ecosystems.
Our spatial team works closely with our botany and zoology teams and undertakes a range of ecological monitoring projects using cutting-edge remote sensing and machine learning techniques.
We encourage all our staff to contribute to the ongoing improvement of how we work, giving opportunities for innovation and idea sharing.
Spectrum is a great place to develop your spatial career, offering:
a competitive salary, commensurate with your experience and expertise.
work-life balance – with potential field work in remote areas.
six weeks leave (4 weeks annual and 2 weeks accrued time in lieu).
field days paid at 12 hours per day.
opportunities for flexible working arrangements.
paid parental leave for primary and secondary carers.
The opportunity to be part of a supportive and close-knit team that encourages team members to participate in all aspects of the assessment including planning, field work, data analysis, and reporting.
Job tasks and responsibilities Culture is paramount at Spectrum.
The Senior Data Scientist will be a role model to our other staff and ensure the team always operates in accordance with our values to promote a safe, fun, and rewarding work environment.
The successful applicant will bring a passion for data, ecology, GIS, and spatial sciences, a willingness to learn, and will contribute towards our common vision of delivering high-quality, fit-for-purpose solutions to our clients.
This role will perform a wide range of tasks that may include:
Statistical analysis of ecological data.
Manipulation and federation of multiple sources of spatio-temporal raster and vector data.
Collaborative and iterative development of data and reporting workflows and pipelines.
Ensuring that ecological data is accurate, consistent, and reliable for informed environmental decision-making.
Innovate analytical and graphical outputs appropriate for ecological decision-making and reporting.
Providing data governance and statistical analysis leadership and support to our key business areas of spatial ecology, botany, and zoology.
Applying the latest machine learning models to whole-of-site rehabilitation, weed, and vegetation condition monitoring.
Production of training data for Machine Learning applications.
Ecological and species distribution modelling.
Report writing based on spatial and non-spatial environmental data.
Metadata management.
Skills and experience Tertiary qualifications in botany, environmental science, or equivalent, with a strong emphasis on statistics and GIS/Remote Sensing, or in mathematical, computing, or information sciences with a strong emphasis on ecological systems.
Competent in the use of GIS software including ArcGIS/QGIS, with a strong understanding of remote sensing principles and their application.
Strong proficiency in R and/or Python.
Strong analytical and writing skills, and the ability to produce high-quality, scientifically robust reports, and other client deliverables.
Excellent written and verbal communication skills.
Demonstrated ability to collaborate and lead within cross-functional teams.
Ability and willingness to complete ecological field surveys across the state.
Competent in SQL.
Experience in cloud-based data pipeline development.
Machine learning (deep learning) skills.
Data governance skills.
How to apply Please apply directly with a Cover Letter (including salary expectations) and current CV.
Please note:
Only shortlisted applicants will be contacted.
Applicants must have the right to work in Australia.
This position is not open to Recruitment Agencies.
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