Job Description
• Manage a team of data scientists in NISR to scope and deliver data science projects that support NISR to achieve its mandate of supporting evidence- based decision making across government. You will oversee projects using a variety of different data sources and data science techniques. Pipeline projects include analysis of large, granular, structured, semi-structured and unstructured datasets such as satellite images, develop interactive visualizations to improve dissemination of NISR data, and automation to improve the efficiency of NISR processes.
• Encourage a culture of innovation and learning. Teach others to become effective data scientists by identifying data science capacity gaps and facilitating training/mentoring to fill them. This includes facilitating both formal training and informal ‘on- the – job’ technical capacity building on data curation, analysis and visualization (R, GIS, and/or Python skills preferred);
• Work with ICT specialists to create an environment in which data scientists can work effectively and teach others to use and maintain this environment.
• Provide technical oversight and quality assurance of NISR’s data science projects to ensure they meet the customer’s objectives and are delivered in line with technical and analytical standards from across the data science community;
• Promote and role model best practice in planning, managing and communicating data science projects to ensure they are a success for both NISR and the customer. This includes establishing and enforcing effective ways of working across the Data Science Team as well as documenting and sharing good practice across NISR and the NSS,
• Oversee good data management within the NISR Data Science Team, and promote good practice in data management across the NSS;
• Form productive relationships with other teams across NISR to understand their priorities and identify opportunities for new data science projects of value to NISR.
• Promote data science and Big Data for official statistics to senior managers.
• Support the data science community across the NSS, including key institutions in government, civil society, the private sector and academia. This may include developing and sharing good practice guidance, facilitating trainings and presenting data science and big data projects.
• Assist in the design of institutional policies and strategies for data access and sharing, data protection, capacity building, etc.
Minimum Qualifications
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Bachelor’s Degree in Statistics
3 Years of relevant experience
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Bachelor’s Degree in Applied Mathematics
3 Years of relevant experience
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Bachelor’s Degree in Data Science
3 Years of relevant experience
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Bachelor’s Degree in Software Engineering
3 Years of relevant experience
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Bachelor of Science in Computer Science
3 Years of relevant experience
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Bachelor’s Degree in Mathematical Sciences
3 Years of relevant experience
Competency and Key Technical Skills
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N/A
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Strong critical thinking skills and excellent problem solving skills.
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Inclusiveness
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Accountability
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Communication
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Teamwork
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Client/citizen focus
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Professionalism
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Commitment to continuous learning
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Analytical skills
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Problem solving skills
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Decision making skills
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Networking skills
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Leadership skills
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Mentoring and coaching skills
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Time management skills
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Risk management skills
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Performance management skills
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Results oriented
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Digital literacy skills
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Resources management skills
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Fluency in English, Kinyarwanda and/or French. Knowledge of all is an added advantage
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