Responsibilities:
Within limits of delegated authority, the Senior Data Science Assistant will be responsible for the following duties: • Responds to requests for exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Leads other team members to prepare input to address requests. • Maintains a working relationship with key clients to leverage the use of data science methods to support their programmatic areas through solutions built by the team and by establishing communication channels through meetings, email and other means. • Provides input in the design and development of 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 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. • Assists in coordinating and conducting timely collection of information on supply chain processes, performance and associated root cause analysis for underperformance which help drive business results and enable the decision-making process. Performs quality assurance checks for data accuracy, update of performance reports and dashboards to help ensure consistent quality throughout the business process. • Maintains specific information products in their area and assists more senior staff in providing information products to others. • Provides client training and develops products, tools and processes to extend the capabilities of client offices. • Prepares customized visualization and presentation products to reveal the findings of analysis for clients. • Guides, trains and supervises other general service staff in the function. • Performs other duties as assigned.
Competencies
• Professionalism: Ability to provide independent evaluations, analyze data and prepare reports. Ability to use internal and external data sources. Knowledge of visualization, machine learning/artificial intelligence (AI), statistical methods, data science tools, statistical programming languages and tools for large datasets. 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. Commitment to implementing the goal of gender equality by ensuring the equal participation and full involvement of women and men in all aspects 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.
Education: High school diploma or equivalent.
Job – Specific Qualification: Certificate in data visualization platforms such as SAP Analytics Cloud, Microsoft Power BI, or Tableau is desirable.
Work Experience:
• A minimum of ten years of progressively responsible experience in data science, data analytics, applied mathematics, information management, software development, database systems or related area is required. The minimum years of relevant experience is reduced to eight years for candidates who possess a first-level university degree or higher. • Experience with designing and building data models and dashboards using data visualization tools such as SAP Analytics Cloud or Power BI is required. • Experience working with database management systems (e.g., SQL Server) is desirable. • Experience using data science tools such as Jupyter, Knime, or equivalent to perform tasks such as predictive analytics, and using programming languages such as Python, R, or similar, is desirable. • Experience in statistical and computational methods, such as clustering, classification, correlation, dimension reduction, forecasting, and applying machine learning algorithms and artificial intelligence techniques to solve real-world problems is desirable.
Languages:
English and French are the working languages of the United Nations Secretariat. For the position advertised, fluency in English is required. Knowledge of another official United Nations language is desirable.