Job responsibilities
Qualifications
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1
Bachelor’s Degree in Data Science
3 Years of relevant experience
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2
Master’s Degree in Data Sciences
1 Years of relevant experience
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3
Bachelor’s Degree in Mathematical Sciences
3 Years of relevant experience
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4
Master’s Degree in Mathematical Sciences
0 Year of relevant experience
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5
Master’s Degree in Mathematical Science
3 Years of relevant experience
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6
Bachelor’s Degree in Big Data
3 Years of relevant experience
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7
Bachelor’s Degree in Machine Learning and Artificial Intelligence
3 Years of relevant experience
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8
Bachelor’s Degree in Computer Systems
3 Years of relevant experience
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9
Master’s Degree in Big Data
1 Years of relevant experience
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10
Master’s Degree in Machine Learning and Artificial Intelligence
1 Years of relevant experience
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11
Master’s Degree in Computer Systems
1 Years of relevant experience
Required competencies and key technical skills
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1Integrity
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2Strong critical thinking skills and excellent problem solving skills
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3Inclusiveness
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4Accountability
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5Communication
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6Teamwork
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7Client/citizen focus
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8Professionalism
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9Commitment to continuous learning
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10Resource management skills
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11Analytical skills
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12Problem solving skills
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13Decision making skills
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14Time management skills
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15Performance management skills
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16Results oriented
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17Digital literacy skills
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18Fluency in Kinyarwanda, English and/ or French. Knowledge of all is an added advantage
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19Capacity to run scripts, programming languages and manipulating cluster computer;
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20Knowledge in quality control, methods of meteorological observations, programming languages
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21Data management systems skills
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22Data servers and dataset skills
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23Ability to provide guidance in weather and climate data processing according to international standards, including WMO guidelines, QMS ISO 9001:2015 and regional/national standard operating procedures
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24Ability to operate a large-scale meteorological data handling system
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