Objective of the Modeler:
Responsibilities will include working in a fast paced environment with a multi-disciplinary team of analytical professionals developing exposures for earthquakes, hurricanes and floods for different geographies across the globe. The candidate must be detail-oriented with a positive attitude and with excellent work ethic. Strong computer skills and a capacity to learn new emerging technologies is also a must.
Graduate/Post Graduate preferably in Geoinformatics or Remote Sensing disciplines with strong analytical skills and5+ years of hands-on experience in image processing and interpretation techniques.
Broad background in remote sensing technology with specific technical expertise in image processing, quality assurance, analysis and validation of high resolution imagery.
Hands-on experience working with satellite image processing software packages such as ENVI, ERDAS imagine, PCI Geomatica etc.
Programming languages (IDL, C++, python, etc.)
Proven knowledge of geographic and cartographic principles: solid understanding and working experience of ESRI ArcGIS and associated extensions
Familiarity with open source GIS platforms such as GRASS GIS is a plus.
Understanding and proficiency in database management platforms such as Microsoft SQL, Hadoop, etc. is highly desired.
Strong statistical background and ability to drive the necessary processes and standards to manage and produce the quality documentation.
Key Accountabilities & Deliverables:
Design and implement required procedures (classification, segmentation, etc.) and develop data products related to Remote Sensing and GIS projects in consultation with project leads and teams in different development offices.
Lead or participate in projects requiring Remote Sensing & GIS support.
Identify suitable baseline and historical imagery sources from both internal and external sources.
Manage or analyze data from remote sensing platforms to obtain meaningful classification and segmentation results. This includes:
o Research, collect, analyze and consolidate available datasets (Land Use and Land Cover LULC - layers, building footprints, industrial facility polygons, road networks etc.)
o Analyze remotely sensed data from airborne, satellites, or ground-based platforms, using statistical analysis software, image processing software, or GIS software.
Compilation of metadata and other documentation
Capture and delineate building footprints using Remote Sensing technology
Interpretation of building attributes (occupancy, year of built, number of floors etc.) using photo interpretation techniques and diversified internet resources
Create maps and graphs for presentations, technical papers, or reports