Geospatial Data Scientist

nxzen

Brisbane

Vor Ort

AUD 120.000 - 160.000

Vollzeit

Vor 10 Tagen

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Zusammenfassung

nxzen is seeking a data science professional to join the Digital Reality team in Brisbane. You will develop ML/AI algorithms to process remote sensing data, build digital twins, and extract high-value information from large spatial datasets.

You will collaborate with the business team to design data-driven digital solutions and provide technical input to solution architecture. The role welcomes graduates through senior level candidates and emphasizes strong communication and problem-solving

Qualifikationen

  • Experience applying or developing ML/AI techniques for remote sensing, spatial data, or imagery.
  • Strong ability to communicate technical concepts clearly to non-technical partners.
  • Familiarity with data processing pipelines and code reviews is advantageous.

Aufgaben

  • Develop and implement ML/AI algorithms for processing remote sensing, spatial, and big data.
  • Support design and development of data-driven digital solutions with the business team.
  • Extract value from data by identifying commercial opportunities and assuring data quality.

Kenntnisse

Machine learning
AI algorithms
Image processing
Spatial data analysis
Statistical methods
Data-driven solutions
Communication skills
Remote sensing

Ausbildung

Degree in a relevant field

Tools

Google Cloud Platform
Linux
Git
GIS

Jobbeschreibung

About nxzen

nxzen is a global technology, consulting, and engineering partner supporting the energy, utilities, and national infrastructure sectors. We help organisations optimise performance, digitise operations, and build safer, smarter, and more resilient systems by combining deep domain expertise with innovative technology.

Our work spans the full infrastructure lifecycle, partnering with clients to deliver practical, outcome-driven solutions across operations, transformation, digital platforms, and engineering. Through our specialist teams and Centres of Excellence, we support the delivery of future-ready infrastructure that enhances efficiency, resilience, and long-term sustainability.

Watch CNBC sponsored nxzen documentary - https://youtu.be/d7PkOB14FzM?si=VRrUFVWHCxZdDyAs

About the ROLE
Location: Brisbane
Permanent Full-time Role

nxzen collects high-density aerial LIDAR data covering the whole of Tasmania, greater Sydney, large parts of remote NSW and potentially other areas. You will be part of nxzen’s Digital Reality team who are tasked with collecting the data, building a digital twin, and extracting high value information from the dataset. You will be responsible for providing advanced analytical, modelling and mathematical support for developing technical solutions.

You will be required to develop and implement machine learning and artificial intelligence algorithms, to support the processing, modelling, and analysis of remote sensing, spatial and big data datasets.You will also be required to work with the business team to support the design and development of data driven digital solutions.

  • Apply robust mathematical and statistical methods to process, analyse and interpret remote sensing, spatial, and other structured/unstructured data.
  • Apply and develop a range of algorithms and techniques to support the development of commercial solutions.
  • Identifying and implementing opportunities to extract commercial value from data or extend client value.
  • Processing, cleansing and verifying the integrity of data used for analysis and business insights.
  • Provide technical input and advice to solution engineering and architecture.
  • Understand complex data structures and relationships and their alignment with the technical challenges, solution architecture and business strategy.
About YOU

Wewelcomeapplicationsfromgraduatethroughtosenior levelcandidates.

Yourlevelofexperiencewillbeconsideredwhenassessingyourskillsandexperienceagainstthecriteriabelow.

Whatyou’llbring
  • Experiencedevelopinginnovativetechniquesandsolutionstocomplexmathematicalandtechnicalproblems.
  • Experienceapplyingordevelopingmachinelearning,artificialintelligence,imageprocessing,and/orsignalprocessingalgorithms.
  • Strongcommunicationskills,withtheabilitytoexplaintechnicalconceptsandideasclearly.
  • Experienceinanyofthefollowingareaswouldbeanadvantage:
  • Experiencewithpowerdistributionorforestryindustries.
  • GoogleCloudPlatform(orequivalent)experience.
  • Experiencewithgeospatialapplicationspreferablyinvolvinglidarandimagery.
  • Demonstratedexperiencewithprocessing,analysingandmodellingremotesensingandspatialdata.
  • ExperiencewithGeodesy.
  • Constructionofgeometricmodels/extractionofinformationfrompointcloudandimagery.
  • FamiliaritywithLinuxsystems.
  • Familiaritywithgoodprogrammingpractiseseg.codereviews,git.
  • Researchanddevelopment(R&D).
  • AIaideddevelopment.
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