Geospatial Data Scientist

ENVIRONMENT: JOIN a high-performance team of a dynamic provider of innovative solutions in the Environmental sphere seeking the expertise of a Geospatial Data Scientist. Your core role will entail developing and implementing advanced Geospatial data analyses and algorithms, focusing on environmental applications. You will also use R, Python & JavaScript to create robust data processing and analysis tools while engaging in cloud computing projects. The successful incumbent must possess an Environmental Sciences/IT or related Degree with 2-3 years proven work experience in Geospatial Data Science with a portfolio of relevant projects with proficiency in R, Python, JavaScript and hands-on experience with cloud computing platforms including demonstrated expertise in Machine Learning and its application to satellite data with a strong foundation in GIS. DUTIES: Develop and implement advanced Geospatial data analyses and algorithms, focusing on environmental applications. Utilise programming languages such as R, Python, and JavaScript to create robust data processing and analysis tools. Engage in cloud computing projects, leveraging your experience to optimize the data infrastructure. Apply Machine Learning techniques to satellite data, enhancing the understanding and monitoring of environmental phenomena. Process and analyse multispectral satellite data to drive innovation in environmental projects. Leverage your strong GIS experience to contribute to a variety of projects, providing insights and developing solutions. Design and maintain web portals that facilitate access to environmental data and insights. Develop and integrate APIs, ensuring seamless communication between various data systems and applications. Contribute to the development of multispectral satellite algorithms, pushing the boundaries of what's possible in environmental monitoring. REQUIREMENTS: Qualifications – A Degree in Environmental Sciences, IT, or a related field. Experience/Skills – 2-3 Years proven work experience in Geospatial Data Science, with a portfolio of relevant projects. Proficiency in R, Python, and JavaScript. Hands-on experience with cloud computing platforms. Demonstrated expertise in Machine Learning and its application to satellite data. A strong foundation in GIS and experience with satellite data processing. Experience in developing web portals and a solid understanding of API development. Willing to relocate to Cape Town will be an advantage. ATTRIBUTES: A keen interest in environmental sciences and a desire to contribute to meaningful projects. Creativity, problem-solving skills, and a collaborative spirit.
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