In its Resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Operations Coordination Office (DCO) as a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions of the resident coordinator system under the collective ownership of the members of the United Nations Sustainable Development Group (UNSDG). The position is located in the United Nations Development Coordination Office (UNDCO) and reports to the Chief of the Country Business Strategies Section. It supports the implementation of the UNSDG Efficiency Initiatives, with a focus on data fluency and digital tool integration in reporting in support of the Efficiency Roadmap. The Data Scientist develops and delivers the data science solutions by using internal and external data to better enable the planning and evidence-based decision making by looking at historical trends, current data and predictions. It designs the products that provide situational awareness, insight, and predictive assessment to guide programme management and implementation. It also identifies innovative data science solutions for complex organizational issues.

• Design and build predictive modelling to increase and optimize entity experiences, benefit realization and other business outcomes, develop custom data models and algorithms to apply to data sets, develop organization A/B testing framework and test model quality. • Design and develop data science products to reveal insights and to provide an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches. • Mine and analyse data from organization databases to drive optimization and improvement of programme development, advocacy, and business strategies. • Contribute to project execution by developing data models and analytical solutions, ensuring they address client problems and support the achievement of their goals. • Support the execution of data science strategies, focusing on operational efficiency and effectiveness in project delivery, while contributing to the identification of potential project risks and opportunities.