-
Economic Statistics Data Team Leader
Job description
Key activities and responsibilities A Senior Data scientist can expect the unique experience of shaping the realisation of the Data Revolution Policy at NISR. This includes overseeing the construction of data infrastructure that will bring NISR to an exceptional standard of practice in the field of data science. In achieving this, successful applicants will be provided with ample opportunity to further their position as an expert in this exciting area of work. As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• 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, unstructured datasets from other government departments, interactive visualisations 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. Communicate the value of data science 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 cross
– departmental training and presenting data science projects.
• Assist in the design of institutional policies and strategies for data access and sharing, data protection, capacity building, etc.
Job profile
Qualifications and experiences Bachelor’s degree in Statistics, Applied Mathematics, Mathematical Sciences, Data Science, Computer Science or Software Engineering with three years of working experience in data management.
2. Social and Demographics Statistics (3)
Job description
2. Key activities and responsibilities As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• Identify, scope and deliver data science projects that support NISR to achieve its mandate of supporting evidence
– based decision making across government. Some examples of ongoing projects include supporting the National Bank of Rwanda create interactive visualisations of data from their data warehouse, supporting NSS to produce some of their regular analysis and data tables using code rather than manual processing, etc.
• Follow appropriate quality assurance processes and contribute to good practice guidelines to ensure data science deliverables are of good quality and meet customer needs. Ensure projects are documented appropriately and that users know how to use and maintain solutions.
• Use appropriate agile management techniques to plan, manage, deliver and generate learning from data science projects.
• Maintain productive relationships with customers and take time to understand the priorities of NISR and other government departments so you can identify opportunities for new data science projects of value.
• Keep updating your knowledge by identifying gaps in your knowledge and learning new data science techniques that you think will be useful for NISR. Support the development of others by delivering training and mentoring others on techniques you are familiar with.
• Support NISR to manage data effectively and facilitate data
– sharing across the NSS and externally by following good practice for data management/cleaning and developing data standards to ensure interoperability.
• Support the data science community across the National Statistical System (NSS), including key institutions in government, civil society, the private sector and academia. This may include presenting projects, sharing good practice, or delivering cross
– departmental training.
• Promote NISR’s data science work both within and outside of the organisation. This may include presenting data science projects, writing blogs or articles, sharing methods online or drafting content for NISR’s communications team.
• Assist in the design of institutional policies and strategies for data access and sharing, data protection, capacity building, etc.
Job profile
Qualifications At least a Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Mathematical Sciences, Physics, Software Engineering or Economics
3. Infrastructure, Systems and Data Security Statistics (X3)
Job description
Key activities and responsibilities In this role you can expect having the unique experience of shaping the realisation of the Data Revolution Policy at NISR.
This includes overseeing the construction of IT infrastructure that will bring the Rwanda National Statistics System to an exceptional standard of practice in the field of data science and data management. In achieving this, successful applicants will be provided with ample opportunity to further their position as an expert in this exciting area of work. As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• Implement technology (hardware and software) for fulfilling the Data Revolution in NISR, and support other institutions in the development of big data ICT infrastructure.
• Develop and support the security and data management environment in the NISR Big Data Lab, ensuring that up to data security software is employed at all times.
• Assist in the design of institutional policies and strategies for data management and capacity building throughout the NSS, particularly in areas that require expertise in areas concerning ICT.
• Construct MySQL and NoSQL based databases with intuitive designs in order to best manage data within NISR and the NSS, while ensuring interoperability of these databases throughout the NSS. Ensure the effective translation of data management policy to the everyday practice of these databases.
• Promote best practices in data access and privacy by constructing, supporting and promoting effective user access control systems within the NISR and the NSS.
• Communicate with ICT specialists within the NSS in order to ensure collaboration and harmonisation of ICT infrastructure concerning data management and data collation, with a particular emphasis on the development of a national data portal.
• Assist proactively in the classification and secure storage of data within NISR and throughout the NSS.
•Take time to understand the priorities of NISR and the NSS within the ICT context and communicate and shape ICT infrastructure to best realise these priorities.
Job profile
Qualifications At least a bachelor’s degree in Computer science or Software Engineering.
4. Economic Statistics (3)
Job description
2. Key activities and responsibilities As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• Identify, scope and deliver data science projects that support NISR to achieve its mandate of supporting evidence
– based decision making across government. Some examples of ongoing projects include supporting the National Bank of Rwanda create interactive visualisations of data from their data warehouse, supporting NSS to produce some of their regular analysis and data tables using code rather than manual processing, etc.
• Follow appropriate quality assurance processes and contribute to good practice guidelines to ensure data science deliverables are of good quality and meet customer needs. Ensure projects are documented appropriately and that users know how to use and maintain solutions.
• Use appropriate agile management techniques to plan, manage, deliver and generate learning from data science projects
• Maintain productive relationships with customers and take time to understand the priorities of NISR and other government departments so you can identify opportunities for new data science projects of value.
• Keep updating your knowledge by identifying gaps in your knowledge and learning new data science techniques that you think will be useful for NISR. Support the development of others by delivering training and mentoring others on techniques you are familiar with.
• Support NISR to manage data effectively and facilitate data
– sharing across the NSS and externally by following good practice for data management/cleaning and developing data standards to ensure interoperability.
• Support the data science community across the National Statistical System (NSS), including key institutions in government, civil society, the private sector and academia. This may include presenting projects, sharing good practice, or delivering cross
– departmental training.
• Promote NISR’s data science work both within and outside of the organisation. This may include presenting data science projects, writing blogs or articles, sharing methods online or drafting content for NISR’s communications team.
• Assist in the design of institutional policies and strategies for data access and sharing, data protection, capacity building, etc.
Job profile
Qualifications At least a Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Mathematical Sciences, Physics, Software Engineering or Economics.
5. Infrastructure, Systems and Data Security Team Leader
Job description
Key activities and responsibilities In this role you can expect having the unique experience of shaping the realisation of the Data Revolution Policy at NISR. This includes overseeing the construction of IT infrastructure that will bring the Rwanda National Statistics System to an exceptional standard of practice in the field of data science and data management. In achieving this, successful applicants will be provided with ample opportunity to further their position as an expert in this exciting area of work. As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• Implement technology (hardware and software) for fulfilling the Data Revolution in NISR, and support other institutions in the development of big data ICT infrastructure.
• Develop and support the security and data management environment in the NISR Big Data Lab, ensuring that up to data security software is employed at all times.
• Assist in the design of institutional policies and strategies for data management and capacity building throughout the NSS, particularly in areas that require expertise in areas concerning ICT.
• Construct MySQL and NoSQL based databases with intuitive designs in order to best manage data within NISR and the NSS, while ensuring interoperability of these databases throughout the NSS. Ensure the effective translation of data management policy to the everyday practice of these databases.
• Promote best practices in data access and privacy by constructing, supporting and promoting effective user access control systems within the NISR and the NSS.
• Communicate with ICT specialists within the NSS in order to ensure collaboration and harmonisation of ICT infrastructure concerning data management and data collation, with a particular emphasis on the development of a national data portal.
• Assist proactively in the classification and secure storage of data within NISR and throughout the NSS.
• Take time to understand the priorities of NISR and the NSS within the ICT context and communicate and shape ICT infrastructure to best realise these priorities.
Job profile
Qualifications At least a Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Mathematical Sciences, Physics, Software Engineering or Economics.
6. Director of Data Revolution and Big Data Unit
Job description
Key activities and responsibilities Data Revolution and Big Data, Director can expect the unique experience of shaping the realisation of the Data Revolution Policy at NISR. This includes overseeing the construction of data infrastructure that will bring NISR to an exceptional standard of practice in the field of data science. In achieving this, successful applicants will be provided with ample opportunity to further their position as an expert in this exciting area of work. As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• 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, unstructured datasets from other government departments, interactive visualisations 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. Communicate the value of data science 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 cross
– departmental training and presenting data science projects.
• Assist in the design of institutional policies and strategies for data access and sharing, data protection, capacity building, etc.
Job profile
Qualifications and experiences Bachelor’s Degree in Data Science, Statistics, Mathematical Sciences, or Computer Science with three (3) years of relevant working experience in data management and Data analysis; or Master’s degree in Data Science, Statistics, Mathematical Sciences, or Computer Science with one (1) year of relevant working experience in data management and data analysis.
7. Social and Demographic Statistics Data Team Leader
Job description
5. Key activities and responsibilities A Senior Data scientist can expect the unique experience of shaping the realisation of the Data Revolution Policy at NISR. This includes overseeing the construction of data infrastructure that will bring NISR to an exceptional standard of practice in the field of data science. In achieving this, successful applicants will be provided with ample opportunity to further their position as an expert in this exciting area of work. As this is a new role in NISR, the successful candidate will be expected to shape their own role according to NISR’s needs, but NISR expects their main activities to include:
• 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, unstructured datasets from other government departments, interactive visualisations 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. Communicate the value of data science 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 cross
– departmental training and presenting data science projects
. • Assist in the design of institutional policies and strategies for data access and sharing, data protection, capacity building, etc.
Job profile
Qualifications and experiences Bachelor’s degree in Statistics, Applied Mathematics, Mathematical Sciences, Data Science, Computer Science or Software Engineering with three (3) years working experience in data management;
Ni byiza muradufasha