This role focuses on executing Zindi competitions from initial engagement with competitions hosts, to designing competitions, preparing datasets, evaluating the winning solutions, and implementation of the solutions as needed. The role will involve data wrangling and data modelling using an array of tools and techniques to solve problems. The focus of the work is designing compelling machine learning competitions that tell an interesting story, have business or societal impact for the host, and provide exciting challenges for data scientists to solve. The candidate must be driven to derive value from large volumes of data and communicate this value to the businesses (competition hosts). It is vital that the candidate be curious, creative, and also pragmatic.
Zindi is a social enterprise start-up whose mission is to build the data science ecosystem in Africa. Our vision is to mobilize a vibrant community of data scientists across Africa, solving the region’s most pressing problems. Zindi is the first data science competition platform in Africa. Zindi hosts an entire data science ecosystem of scientists, engineers, academics, companies, NGOs, governments and institutions. Zindi works with companies, non-profit organizations, and government institutions to develop, curate, and prepare data-driven challenges. For data scientists, Zindi is a place to access African datasets and solve African problems. Data scientists have all the tools they need on Zindi to compete, share ideas, hone their skills, build their professional profiles, find career opportunities, and have fun.
Role and Responsibilities
Core Competencies & Skills
Desirable Competencies & Skills
Please note that all Zindi team members without exception, are prohibited from entering any Zindi competitions.