Data Scientist - Machine Learning (remote)
Saskatchewan Research Council
SRC is seeking a Data Scientist to anchor SRCs geomatics and spatial data infrastructure while supporting climate and climate-resilience initiatives. This position will focus on transforming, structuring, and analyzing complex spatial and environmental data.
Accountabilities
Design, implement, and maintain spatial data models, ETL workflows, and geospatial data standards across projects
Administer and support ArcGIS Enterprise, spatial databases, and associated services
Provide GIS design, development, advisory services, mapping, analysis, administration, data management, and analytical services for integrated data management systems for internal and external clients
Automate GIS and data management tasks using scripting tools such as Python and SQL
Develop and implement quality control and quality assurance standards and processes
Support acquisition, processing, and analysis of remote sensing data from satellite, aerial, UAV, and LiDAR
Integrate geospatial workflows with advanced analytics, including artificial intelligence and machine learning, third-party databases, and enterprise systems
Contribute to climate-informed hazard-mapping, vulnerability, and risk assessments
Integrate climate and hydrologic datasets, projections and monitoring data into geospatial workflows
Participate in proposal development and identification of new opportunities in geomatics and climate resilience
Qualifications
Degree in Data or Computer Science, Geomatics, Geography, or a related field, with demonstrated experience in data management or enterprise environments. A combination of education and relevant experience will be considered
The chosen candidate will be required to provide an original Criminal Record Check that is satisfactory to SRC prior to the commencement of any employment duties. The Criminal Record Check must have been executed within the preceding 30 days of receipt.
View the full posting at
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