Data Scientist - GIS at Trigyn Technologies

Job Description:

• Manipulate high-volume, high-dimensionality data from varying sources to visualize and identify patterns, anomalies, relationships, and trends.
• Visualization: Ability to design interactive data interfaces for communicating stories with data and unveiling insights within complex datasets.
• Possesses a strong ability and knowledge of database principles, data profiling, statistics and data modelling and can apply this knowledge in new or complex situations.
• Mapping, spatial analysis, data analytics and visualization.
• Data extraction, web scraping and sourcing of the open-source GIS datasets to complement existing datasets.
• Managing the open source / open data artifacts
• Developing (open) data interfaces, use and design (meta) data schemes.
• Manages open-source projects developed by client.
• Establishes and ensures quality levels for source code and commits.

Competencies:

• Bachelor's or higher degree, in Computer Science and/or Data Science or a directly related field or its equivalent in education and/or work experience.

Experience and Requirements:

• A minimum of 5 years of experience in Data science with at least one project on Geospatial analytics using tools such as ArcGIS, QGIS etc.,
• Experience using open-source GIS datasets such as Satellite Images
• Domain knowledge of Geoscience and Earth Science are highly desirable.
• Previous experience in ETL process: data extraction, orchestrating data pipelines
• Experience working in an international context, ideally with international organizations is an asset.
• MLOps knowledge is highly desirable.
• Data extraction, orchestrating data pipelines and data transformation using e.g. Apache Airflow
• Good working knowledge of open-source Python libraries for Geospatial analytics
• Strong computer programming language skills in multiple languages and data management tools.
• Experience in Machine Learning Libraries (TensorFlow, PyTorch or Keras).
• Experience with open-source data transformation, analytics and data visualization tools.
• Experience with GIS-based data visualization and analysis (e.g. shapefile generation, maps and overlays visualizations) is highly desirable.
• Experience working with cloud hosting platforms such as Amazon Web Services (AWS), Microsoft Azure, Digital Ocean, Docker, Google Cloud is highly desirable.
• Someone with the ability to define GIS workflows and create POCs is an asset.
• Someone based in Namibia is highly desirable.