Data Scientist with baseline clearance


Job title: Data Scientist with baseline clearance

Company: ZSoft Technologies

Job description: Data Scientist with Python and baseline clearance – Canberra1. Experience in coding and software development using Python or Fortran2. Experience in image processing and classification using remote sensing algorithms and/or Machine Learning techniques with optical and/or synthetic aperture radar (SAR) remotely sensed data.3. Experience with DevOps practices (CI/CD and infracode) and cloud computing (preferably in an AWS environment).4. Experience in geospatial analysis, ideally using packages such as xarray, pandas, numpy and services.5. Demonstrated ability to work in a team as part of a broader program, working towards organisational priorities.6. Demonstrated ability to undertake work under limited direction with the opportunity for reasonable initiative, self-directed work and accountability.7.Demonstrated ability to develop highly scalable workflows in AWS using Infrastructure-As-Code (i.e. Terraform) and workflow management tools (e.g., Airflow and Argo Workflows)8. Experience with radiative transfer code like 6S and MODTRAN and/or SAR data processing software such as GAMMA, ISCE3 and SNAP9. Engineering large scale automated processing workflows (e.g., using Argo Workflows, Airflow, SNS event-driven processing)10. The ability to work effectively with technical and non-technical stakeholders.11. Australian Citizen with baseline security clearance12. Canberra work location with hybrid working model#DigitalEarthAntarctica #EarthObservation #EOData #AntarcticData #RemoteSensing #SatelliteData #OpticalData #SAR #SyntheticApertureRadar #CloudComputing #HighPerformanceComputing #DataScience #DataPipelines #GeospatialAnalysis #Fortran #MachineLearning #DevOps #CICD #InfrastructureAsCode #Terraform #AWS #Xarray #Pandas #Numpy #OpenDataCube #AgileDevelopment #ScalableWorkflows #python #australiajobs #canberrajobs

Expected salary:

Location: Canberra, ACT

Job date: Sun, 30 Jun 2024 03:03:56 GMT

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