Data Scientist

Responsibilities

• Data Strategy & Integration: Lead the design and implementation of data-driven strategies to support ICT & Innovation and Ministry of Health sector planning, integrating diverse data sources to enhance decision-making, and improving sector outcomes.
• Data Analysis & Reporting: Develop and apply advanced statistical models, including predictive analytics, to derive insights that support ICT and Innovation policy and planning. Create comprehensive reports and dashboards to communicate findings to high-level stakeholders, including government leaders.
• Capacity Building & Collaboration: Provide training and technical support to strengthen the capacity of MOH and MINICT teams in data analysis, statistics, and the use of machine learning models. Work collaboratively with government counterparts and other stakeholders to ensure data initiatives align with Rwanda’s ICT and Innovation priorities.
• eHealth Project Support: Collaborate with the Tech for Development team, contributing to the execution, monitoring, and evaluation of e-Health projects. Support efforts to improve data integrity, security, and system integration within the health sector.
• Stakeholder Engagement & Policy Support: Engage with government agencies, the private sector, and development partners to scope opportunities for leveraging data to support Rwanda’s AI and Tech and Innovation policies strategic priorities.

Skillset

• Education & Experience: Hold a master’s degree in data science, statistics, or related fields, and bring 5+ years of experience in data analytics. A PhD in Data Science will be an added advantage.
• Technical Expertise: Strong background in data science, including data mining, advanced statistical analysis, machine learning, and predictive modelling using tools like Python, R, SQL, and Hadoop. Ability to manage large, complex datasets and extract meaningful insights.
• Data Systems: Experience working with data systems and the integration of data from multiple sources to support policy decisions. Familiarity with data privacy regulations.
• Data Visualization: Expertise in designing data reports and visualizations using tools such as Tableau, Power BI, or similar platforms, making complex data accessible to non-technical stakeholders.
• Capacity Building: Proven ability to train and build the capacity of teams in data analysis, statistical modelling, and predictive analytics, with a focus on practical applications.
• Project Management: Experience in leading data-driven projects ensuring delivery of key outcomes and maintaining strong relationships with government partners.
• Problem Solving & Adaptability: Strong analytical and problem-solving skills with the ability to adapt to changing environments and work under pressure. Demonstrated ability to coordinate across multi-disciplinary teams to achieve project goals.
• Work Planning and reporting: Develop and maintain a comprehensive work plan, ensuring timely updates and delivery of key milestones. Provide regular progress reports to line managers and stakeholders, while proactively communicating any risks or challenges.
• Communication: Effectively communicate complex data findings in clear, concise English, both verbally and in writing, ensuring alignment with project goals. Maintain excellent communication with government counterparts and other stakeholders to ensure consistent updates and smooth coordination of data-driven initiatives.