Description of the role
The ideal candidate will thrive in cross-functional and Agile team environments and possess comprehensive knowledge in the following areas:
- Plan and execute high-quality business analysis of data sets, analyzing and interpreting collected data to meet business requirements.
- Work with project team members to gather, assess, organize, profile, and clean data for geospatial applications.
- Develop or use existing tools that present data in useful business formats.
- Program, obtain, process, and analyze and format vector and raster datasets, digitizing, preparing input data for various models, or automating models to output maps.
- Create re-usable applications of geostatistical models (R, Python, SAS, SPSS, etc.) using available technologies.
- Develop algorithms that will enable the processing of satellite imagery data in real-time (e.g., using Google Earth Engine).
- Develop innovative approaches to data exploration and visualization and develop web applications to communicate findings.
- Create, update, and manage geospatial information system databases and assist in identifying, compiling, and assessing geospatial and imagery data sets.
Needed qualifications
- Bachelor's or Master's degree in a related quantitative field (e.g., GIS, Computer Science, Physics, Mathematics, Engineering, etc.)
- Experience as a Geospatial Analyst preferred.
- Strong experience in using analytical packages such as R, Python, etc., and approaches (regression, decision trees, clustering, neural networks, etc.)
- Experience with Geospatial Tools (e.g., ArcGIS, QGIS) and/or geospatial approaches (spatial analysis, remote sensing, network analysis, geographic visualization, etc.)
- Knowledge of spatial analytics such as spatial statistics, spatial econometrics, location optimization, etc. is strongly preferred.
- Ability to work with relational databases such as SQL, PostGIS, etc.
- Familiarity with open-source GIS such as GDAL (including OGR), QGIS will be a plus.
All applications will be treated in strict confidentiality. Please note that only shortlisted candidates will be invited to an interview.
Expertise level
Work arrangement
Key skills
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