Org. Setting and ReportingThe Independent Institution on Missing Persons in the Syrian Arab Republic (IIMP) was established by the General Assembly in its resolution 77/301, adopted on 29 June 2023. Please note that while the position is currently located in Geneva, Switzerland, the duty station may be subject to change. Applicants should be aware that the position may be relocated to Damascus, Syria, or to another location relevant to the Institution's operations. By applying, candidates confirm their willingness to accept such a reassignment in accordance with UN regulations and rules, should such a decision be made. The incumbent reports to the Human Rights Officer, or her/his designee. ResponsibilitiesWithin delegated authority, the Associate Data Scientist may be responsible for the following duties: (These duties are generic and may not be carried out by all Associate Data Scientists.) Assists in the exploration, identification, and acquisition of diverse and complex data sources to determine their suitability for analytical use. Applies quality methods to structure, clean, format, parse, and standardize data for analysis. Contributes to the application of data science methods to support programmatic areas, including work related to missing persons in Syria, contributing to efforts to clarify their fate, whereabouts and circumstances of disappearance. Contributes to the design and develops data science products to reveal insights and provides 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. Contributes to the analysis of large volumes of data to identify patterns, relationships and relevant insights, and develops analytical outputs and visualization products to communicate findings, including through briefings, reports, interactive interfaces and other formats. Guides, trains and supervises general service staff in the function. CompetenciesProfessionalism: Knowledge of the data analysis life cycle from ingest and wrangling to analysis and visualization to present findings. Knowledge of statistical and computational methods, such as clustering, classification, correlation, dimension reduction, forecasting, machine learning, detecting outliers, and regression. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Teamwork: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position; shares credit for team accomplishments and accepts joint responsibility for team shortcomings. Technological Awareness: Keeps abreast of available technology; understands applicability and limitation of technology to the work of the office; actively seeks to apply technology to appropriate tasks; shows willingness to learn new technology. EducationAdvanced university degree (Master’s degree or equivalent) in data science, information management, statistics, public administration, public information, management or a related field. A first-level university degree in combination with two years of qualifying experience may be accepted in lieu of the advanced university degree. Job - Specific QualificationNot available. Work ExperienceA minimum of two years of progressively responsible experience in data science, data analytics, applied mathematics, information management or related area is required. Experience of data Science and statistical programming tools and languages (e.g., Python, R, Jupyter, MATLAB, SPSS, SAS or similar) is desirable. Experience with data manipulation, analysis and visualization (e.g., pandas, Power BI, Tableau or similar tools) is desirable. Experience with natural language processing (NLP) tools and working with large volumes of structured and unstructured data is desirable. Experience with document review platforms (e.g., Relativity or similar tools) and OCR or text extraction from PDFs and images is desirable. Experience with databases and data storage concepts (e.g., SQL or NoSQL) is desirable. Experience working with or analyzing data related to Syria, including political, humanitarian or human rights contexts is desirable. LanguagesEnglish and French are the working languages of the United Nations Secretariat. For this job opening, English and Arabic are required. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details). .headtable { font-family: arial, sans-serif; border-collapse: collapse; width: 100%; border: 1px solid gray; border-radius: 10px; overflow: hidden; } .headTitle { font-family: Arial, Helvetica, sans-serif; font-size: 16px; font-weight: bold; color:black; } .headtable tr td, .headtable tr th { text-align: center; vertical-align: middle; padding: 6px; } .headtable th{ background-color: #F4F4F4; color: #002d62; font-weight: bold; text-align: center; vertical-align: middle; padding: 12px; border-right: 1px solid #ccc; } .headtable td { text-align: center; vertical-align: middle; background-color: white; border-top: 1px solid #ccc; border-right: 1px solid #ccc; } .headtable th:last-child, .headtable td:last-child { border-right: none; } .headtable tr:last-child td { border-bottom: none; } .rounded-table-wrapper { border-radius: 12px; border: 1px solid #ccc; overflow: hidden; } Required LanguagesLanguageReadingWritingListeningSpeakingEnglishUN Level IIIUN Level IIIUN Level IIIUN Level IIIArabicUN Level IIIUN Level IIIUN Level IIIUN Level III AssessmentEvaluation of qualified candidates may include an assessment exercise which may be followed by competency-based interview. 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