Be part of a team that will focus on strengthening capacity-building and on providing support to developing countries in data collection tools, methods, and reporting for the measurement of South-South cooperation.

Responsibilities

• Organize, design, plan, and carry out the collection, evaluation, analysis, compilation, and dissemination of statistical data related to trade and development.
• Work with member States’ experts and other stakeholders to identify opportunities for leveraging data for South-South cooperation.
• Develop and analyze statistical databases to release South-South and other development analysis. Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop standards on statistical concepts, definitions, classifications, custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize entity experiences, benefit realization and other business outcomes.
• Organize and participates in seminars, working groups and expert meetings as technical resource person, promoting sharing of good practices.
• Develop quality assurance and testing frameworks and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Perform other duties as assigned.

Skillset

• Advanced university degree (Master’s degree or equivalent) in data science, computer science, information management, statistics, economics, public information, or a related field is required. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of five years of progressively responsible experience in the collection, compilation, analysis, and dissemination of official statistics and data science, data analytics or related area is required.
• Experience in developing and compiling composite development indicators is desirable.
• Experience implementing or facilitating statistical capacity building activities and training for developing economies is desirable.
• Experience of data science tools such as Matlab, SPSS, SAS, or Statistical Programming Languages such as R, Python, Javascript or related is desirable

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