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Data Science/ML Analyst - IPSA 9 | |
Location : | Home-based |
Application Deadline : | 26-May-22 (Midnight New York, USA) |
Time left : | 2d 6h 56m |
Type of Contract : | IPSA (Regular) |
Post Level : | IPSA-9 |
Languages Required : | English |
Duration of Initial Contract : | 6 months |
Expected Duration of Assignment : | 6 months with possibility of extension |
UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence. UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks. |
Background |
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Instructions to Applicants: Click on the "Apply now" button. Input your information in the appropriate Sections: personal information, language proficiency, education, resume and motivation. Upon completion of the first page, please hit "submit application" tab at the end of the page. Please ensure that CV or P11 and the Cover letter are combined in one file. The following documents shall be required from the applicants: Personal CV or P11, indicating all past positions held and their main underlying functions, their durations (month/year), the qualifications, as well as the contact details (email and telephone number) of the Candidate, and at least three (3) the most recent professional references of previous supervisors. References may also include peers. A cover letter (maximum length: 1 page) indicating why the candidate considers him-/herself to be suitable for the position. Managers may ask (ad hoc) for any other materials relevant to pre-assessing the relevance of their experience, such as reports, presentations, publications, campaigns or other materials.
Office/Unit/Project Description The UN Reform Resolution tasks UNDP to provide countries with an “integrator function” to accelerate progress towards the SDGs by tackling multiple interlinked and interdependent development challenges. The UNDP Global Policy Network (GPN) draws on expertise globally to provide more effective responses to the complex development challenges countries face in achieving the SDGs and responding to crisis in an integrated and coherent manner. Anchored in the Crisis Bureau (CB) and the Bureau for Policy and Programme Support (BPPS), the GPN has the responsibility for developing all relevant policy and guidance to support the results of UNDP’s Strategic Plan, which is aligned with the 2030 Agenda Sustainable Development Goals (SDG). An SDG Integration Team located with UNDP’s Global Policy Network (GPN) offers a menu of services emphasizing direct short- to medium-term engagements to respond rapidly to requests from country offices for support on national implementation and monitoring of integrated policy solutions, qualitative and evidence-driven analysis for accelerated progress, and knowledge sharing and upscaling of innovative approaches to sustainable development. The team’s work emphasizes the application of evidence-driven data and analytics for SDG implementation and reporting. In this regard, advances in digital technology are creating data at unprecedented levels of detail and speed, turning the stories of people’s lives into numbers every minute of every day, across the globe. An important focus of the integration work is to complement traditional data (e.g., national statistics,) with new and alternative sources including digital ‘breadcrumbs,’ satellite data, social media to identify emerging trends and gain new perspectives on issues in development. Under the guidance of the Global Policy Advisor of the SDG Integration Bureau for Policy and Programme Support/Global Policy Network, the Data Science Analyst will lead on the development, training and testing of text analytics/Natural Language Processing (NLP) of reports, project information and other data for the organisation.
Institutional Arrangement
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Scope of Work
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Required Skills and Experience |
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