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מרטנס | Mertens – מקבוצת מלם תים
verifiedVerified ListingGeospatial Data Scientist (37787)
schedulePosted today
workFull time
bar_chartMid
AIAPIsAsset management systemsautomated GIS workflowsData AnalysisGeographic data managementGeographic Information SystemsGeospatialGeospatial Data AutomationGeospatial Data ScienceGISMachine LearningPhotogrammetryPostGISPostgreSQLPythonQAQA/QC
About the Role
Geospatial Data Scientist | GIS & AI | Tel Aviv | Mertens Malam Team
Mertens Malam Team is hiring an experienced
Geospatial Data Scientist
specializing in GIS and Artificial Intelligence to join a government organization in Tel Aviv
Key Responsibilities:
Develop and implement AI and Machine Learning solutions for geospatial data analysis, workflow automation, photogrammetry, and GIS applications
Develop Computer Vision tools for quality control, image processing, anomaly detection, and advanced models and algorithms
Work with Python, PostgreSQL, PostGIS, APIs, and automation tools
Develop integrations between systems and databases, define technological solutions, and improve data management and quality control processes
Collaborate with professional stakeholders across the organization
Integrate new data sources, document processes, and implement automated workflows as part of a geographic information and land management project
Requirements:
At least 5 years of experience in data-related roles, including a minimum of 2 years in Data Science
Relevant education meeting one of the required qualification pathways, including academic education or a recognized military technology background
Experience developing with Python, working with AI tools, and building automation workflows, scripts, and integrations – advantage
Experience working with geospatial data, GIS systems, photogrammetry, image processing, and Computer Vision tools – advantage
Experience with PostgreSQL, PostGIS, QA/QC processes, API integrations, and automation tools – advantage
domain
מרטנס | Mertens – מקבוצת מלם תים
Leading-edge innovations and technical excellence in the geospatial domain.