Associate Data Scientist at United Nations Environment Programme (UNEP)

Responsibilities

• Assists in the exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of UNEP. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use.
• Establishes a close working relationship with key clients to leverage the use of data science methods to support their programmatic areas with solutions that assist them in accomplishing their mandates.
• Coordinates the development of the Global Environment Data Strategy (GEDS), including consultation organization, research and analysis.
• 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.
• Assists in promoting the use of data science solutions through training and the development of products, tools and processes to extend the capabilities of UNEP`s offices.
• Contributes to the design and develops customized visualization and presentation products to reveal the findings of analysis for stakeholders and colleagues, suitable for all forms of production to include briefings, reports, documentation to oversight bodies, interactive interfaces, and publication quality outputs.
• Guides, trains and supervises general service staff in the function.
• Collects and analyzes data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting.

Education

• An advanced university degree (Master’s or equivalent) in data science, mathematics, statistics, engineering or related fields is required.
• A first-level university degree in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.

Work Experience

• A minimum of two (2) years of progressively responsible experience in data science, data analytics, applied mathematics, information management or related area is required. No experience is required for candidates who have passed the United Nations Young Professionals Programme Examination (YPP), the United Nations Competitive Recruitment Examination (NCRE) or the G to P Examination
• Experience working with multiple stakeholders on digital transformation, ideally in an environmental context, is desirable.
• Experience working in an international organization 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