DATA SCIENTIST, New York, United States

## DATA SCIENTIST, New York, United States - Organization:DPO - Department of Peace Operations - Office:DPO in New York, USA Organizational Setting and Reporting The Policy, Evaluation and Training Division (DPET) is mandated to develop and disseminate the policy and doctrine guiding the work of Peacekeeping Operations. In addition, the division has the responsibility to evaluate, at the request of the heads of the departments, how those policies are being applied, gather lessons learned and best practices, and use that information to guide the development, coordination and delivery of standardized training, so as to complete the learning cycle. DPET is also responsible for developing and maintaining strategic cooperation with various UN and external partners. The Policy and Best Practices Service (PBPS) is part of the Policy Evaluation and Training Division (DPET) of the Department of Peace Operations. It provides support to both DPO and DOS. The core function of PBPS is to help improve the efficiency and effectiveness of peacekeeping operations through the exchange of good practices between missions, the development of guidance material that reflects lessons learned, and thematic policy support in selected areas. PBPS also leads several reform process. This position is located in the Policy and Best Practices Service (PBPS), Division of Policy, Evaluation and Training (DPET), Department of Peace Operation (DPO), New York. The Data Scientist reports to the Senior Programme Management Officer. The focus of this job is to support peacekeeping operations to monitor, analyse, and respond to mis/dis/malinformation and hate speech. Within delegated authority, the Data Scientist will be responsible for the following duties: (These duties are generic and may not be performed by all Data Scientists.) - Analyze large, complex datasets to extract insights through the use of appropriate techniques and platforms. - Prepare reports that effectively communicate trends and patterns using relevant data and visualisations. - Ensure data integrity and compliance with privacy regulations and best practices at the UN. - Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions, including liaising with technology providers, civil society, international organizations and Member States. - Mine and analyze data from organization databases to drive optimization and improvement of programme development, advocacy and business strategies. - Assess the effectiveness and accuracy of new data sources and data gathering techniques. - Develop technology solutions for the purpose of monitoring and analysing the digital information environment. - Use predictive modeling to increase and optimize entity experiences, benefit realization and other business outcomes. - Develop organization A/B testing framework 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. - Performs other duties as assigned. PROFESSIONALISM: Knowledge of the data analysis life cycle from ingest and wrangling to analysis and visualization to present findings. Experience in developing digital software tools using relevant programming languages. Excellent 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. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. 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. PLANNING & ORGANIZING: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently. Advanced university degree (Master's degree or equivalent) in data science, computer science, information management, statistics, public administration, public information, management or a related field. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. Job - Specific Qualification A minimum of five years of experience in data science, data analytics, applied mathematics, information management or related area is required. Experience developing technology solutions related to analysis of the digital and analogue information environment is required. Experience in developing and providing training on analysis of the digital information environment is desirable. Experience conducting data analysis of digital media datasets is desirable. Experience of data science tools such as Jupyter, Matlab, Knime, SPSS, SAS, or similar Statistical Programming Languages such as R, Python, Javascript or related is desirable Experience in using data to advance decisions, strategies and execution is desirable. English and French are the working languages of the United Nations Secretariat. For this job opening, English is required. French is desirable. 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). Evaluation of qualified candidates may include an assessment exercise which may be followed by competency-based interview. - This position is temporarily available through 31 Dec 2026, with the possibility of an extension. If the selected candidate is a staff member from the United Nations Secretariat, the selection will be administered as a temporary assignment. - While this temporary assignment may provide the successful applicant with an opportunity to gain new work experience, the selection for this position is for a limited period and has no bearing on the future incumbency of the post. - Subject to the funding source of the position, the eligibility for this temporary job opening may be limited to candidates based at the duty station. - This temporary job opening may be limited to “internal candidates,” who have been recruited through a competitive examination administered according to staff rule 4.16 or staff selection process including the review of a central review body established according to staff rule 4.15. - Staff members of the United Nations common system organizations who will reach the mandatory age of separation or retirement within the duration of the current temporary need period are not eligible to apply.Submitting an application or selection for the current temporary job opening does not delay or increase the mandatory age of separation. - Retirees above the mandatory age of separation wh