Key Responsibilities:

• Creation, validation and sourcing of data products from both geographic and non-geographic data that supports the objectives of the respective projectsthat the incumbent has been assigned to.
• The development of data pipelines through processing algorithms
• Creation, testing, and deployment of user end tools to search for and access data and other standalone user interfaces.
• Co-development of a multi-criteria decision analysis platforms using a combination of data types and mainstream libraries for decision support.
• Build production-quality data pipelines to add value to data streams and deploy these in standardised data services.
• Technical leadership in medium to large scale data science projects.
• Co-development of project proposals.
• Create training manuals and reports for any products developed.
• Science engagement, Stakeholder engagement and Co-author scientific presentations.
• Contribute to the SAEON uLwazi node publication and conference presentation effort.
• Engagement with internal and external staff to ensure delivery

Key Requirements:
Qualification:

• NQF 9 - Masters in Computer science, Mathematics, Physics, Statistics, Informatics or Engineering
• PhD (NQF 10) will be advantageous

Experience:

• 5 years of relevant post-qualification work experience in coding, geospatial data analysis and classification techniques

Knowledge:

• Familiarity with spatial and multidimensional data technologies, data, and services, including management skills;
• Experience in relational databases, machine learning, statistics, and programming
• Some background in supervised and unsupervised classification techniques
• Proficiency in one or more programming languages.
• Skills
• Data visualisation
• Communication skills
• Project management
• Data warehousing
• Data processing
• Machine learning concepts
• Algorithms for developing models.