ENVIRONMENT: A national coalition of NGOs and partners seeks a Data Science Specialist to drive success by enabling informed decision-making through effective communication of prioritized data-driven analyses. This includes generating insights such as child-by-venue-modality figures, disaggregated by socio-economic factors. The role requires leading complex data projects collaboratively, leveraging expertise in quantitative analytics, statistical analyses, modeling, machine learning algorithms, and data visualization.
DUTIES: Designing and Managing Data Projects collaboratively in service of strategy and operations Co-conceptualise, prioritise, design, plan and adaptively manage data projects. Proactively and collaboratively identifying opportunities and/or improvements involving data. Co-developing and pursuing strategies and tactics to acquire, clean, analyse and interpret data (together with other functional teams). Translating and communicating, as well as enabling & participating in conversations about sophisticated data concepts into appropriately accessible language. Conducting & Sustaining High-Quality Data Analyses, Analytics, Modelling, and Algorithms Conducting exploratory data analyses to identify patterns, relationships, and anomalies. Developing, validating, and maintaining advanced data models (incl. predictive models) and algorithms. Using analyses and models to find and/or identify and/or generate and/or test assumptions and inferences. Asking and answering questions. Yielding insights and enabling learning. Using machine learning for predictive modeling, classification, and clustering. Performing & Developing Professionally Delivering consistently high quality and proactive service. Delivering an affordable and sustainable set of solutions and/or projects on time. Estimating work accurately. Ensuring code and delivery meet quality assurance standards for accuracy and performance. Staying up to date with industry and/or other relevant practices, developments, and trends. Identifying and completing relevant, valuable training and/or certifications as agreed. REQUIREMENTS: Qualifications and Experience Min. master's degree or higher qualification in data science, statistics, computer science, or a related field. Min. 5 years' experience in a data science role, incl. min. 2 years in a senior position. Track record of successfully managing and delivering data-driven projects. Advantageous: fluency in an African language. Technical Knowledge & Understanding and/or Skills & Abilities Excellence in quantitative analytics, statistical analyses, modelling (incl. forecasting & predictive analytics), multivariate testing & analyses, and optimisation algorithms. Strong experience building models collaboratively. Excellence in relevant programming languages, frameworks, and tools: e.g., Python, R, SQL. Experience using machine learning (frameworks and libraries) to create AI features. Using data visualisation tools (e.g., Tableau, PowerBI). General Knowledge & Understanding Clear curiosity and track record of learning, including openness to & appetite for feedback. Sophisticated critical thinking, especially about data-related questions. Ability to analyse/decompose complicated problems in developing solutions, structure a solution, model the data, and design & build appropriate components. Commitment to international social justice and education equity. ATTRIBUTES: Excellent attention to detail. Ability to manage multiple projects and deadlines and work well under pressure. Excellent professional communication skills, incl. communicating (incl. presenting) findings & insights. Good interpersonal skills, incl. teamwork & collaboration. Strong organisational and time management skills. Strong drive to succeed.
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