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    Geospatial Data Scientist*inbaito Pro Job

    Systemiq Ltd.
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    City of London, Amsterdam, München
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    Einführung

    Systemiq is seeking a talented Geospatial Data Scientist to join our ANALYTIQ team, where you'll leverage your skills to create first-rate analytical models that address a myriad of topics and deliver substantial, system-level impact.

    Aufgaben

    • Develop and run geospatial analytical workflows to support impact measurement for nature-based solution projects
    • Create bespoke geospatial optimisation models and insight tools to accelerate and scale system change for clients
    • Build out and manage ANALYTIQ’s internal geospatial datasets and suite of tools that enable accelerated impact to our SYSTEMIQ project teams
    • Work as part of a development and project team to deliver analytical insights to SYSTEMIQ’s impact partners
    • Liaise with SYSTEMIQ’s platforms on energy, materials, nature, finance and cities to design and build new geospatial insights and tools
    • Work with SYSTEMIQ’s partners and wider sustainability analytics community to stay up to date with the latest methods to bring to projects

    Voraussetzungen

    • Strong quantitative/analytical background, owning a master’s degree or higher in computer science, earth science, geography, remote sensing, engineering, environmental management, maths, physics or equivalent area
    • Recent graduate or up to 2-4 years of work experience
    • A strong track record of working with geospatial vector and raster data, conducting GIS assessments, and conducting remote sensing analysis
    • Experience working with various GIS software applications such as ArcGIS, QGIS, Google Earth Engine, etc.
    • Experience working with complex geospatial data pipelines, working with PostGIS and other tools to be able to efficiently deploy geospatial data layers
    • Familiarity with Python programming and working with relevant Python packages (geoPandas, Rasterio, GDAL, xarray, etc)
    • Understanding of open source and proprietary datasets
    • A keen willingness to learn a broader set of skills to deliver impact

    Benefits

    • The remuneration and benefits package will reflect the successful candidate's experience and expertise.

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