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Data Scientist - Machine Learning (remote)

Full-time

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

Vacancy posted 8 hours ago
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