Data Scientist
Rome
- Organization: FAO - Food and Agriculture Organization of the United Nations
- Location: Rome
- Grade: Consultancy - Consultant - Contractors Agreement
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Occupational Groups:
- Statistics
- Information Technology and Computer Science
- Scientist and Researcher
- ESS
- Closing Date: Closed
IMPORTANT NOTICE\: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device
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FAO is committed to achieving workforce diversity in terms of gender and nationality
People with disabilities are equally encouraged to apply
All applications will be treated with the strictest confidentiality
The incumbent may be re-assigned to different activities and/or duty stations depending on the evolving needs of the Organization
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Organizational Setting The Statistics Division (ESS) develops and advocates for the implementation of methodologies and standards for data collection, validation, processing and analysis of food and agriculture statistics. In these statistical domains, it also plays a vital role in the compilation, processing and dissemination of internationally comparable data, and provides essential capacity building support to member countries. In addition, the Division disseminates many publications, working papers and statistical yearbooks, which cover agricultural and food security relevant statistics (including prices, production, trade and agri-environmental statistical data). The Statistics Division is involved in the management of a number of large scale projects, aimed at improving statistical methodologies and establish best practices for the collection, collation, processing, dissemination and use of data relevant to food security, agriculture and rural areas. Within the Statistics Division, a Data Lab for Statistical Innovation has recently been established to lead the Division’s work related to data science applications (text mining, machine learning, web scraping, geospatial analysis) and the use of big data to solve real data problems in agriculture statistics and policy analysis. In particular, the Data Lab will support the Hand-in-Hand Initiative aiming at accelerating progress on Sustainable Development Goals in 43 focus countries with the highest poverty and hunger rates. Rapid technological development requires ESS to innovate in a variety of areas to modernize the statistical business process and meet the increasingly demanding needs for fast, accurate, easy and cost-effective data. Therefore, it is part of FAO’s strategy to engage with non-official, Big Data sources including geospatial data and to rely on data science methods to solve the current data gaps problems. The Data Lab initial objectives are (i) to promote the use of non-official, unstructured data and data science methods to fill data gaps in domains and geographical areas in which there is little official data available. In the context of the Hand-in-Hand Initiative, it will focus on building data systems that will facilitate the identification of target areas and will describe different aspects of their agricultural potential; (ii) to promote the use of non-official, unstructured data and data science methods to validate official data reported by countries, to identify areas of future collaboration and technical assistance and (iii) to build tools to extract data from texts in order to summarize available information that characterize the situation of specific territories and to map/identify/categorize effective policy interventions that can be applied in similar situations. The final objective is to increase the quantity, quality and timeliness of the statistics that the Organization produces to serve the countries and help achieving the Sustainable Development Goals. The data scientist, whether Consultants and PSA subscriber, will join this new Data Lab. Reporting Lines Consultants and PSA subscribers in ESS will work under the immediate supervision of the Methodological Innovation Team Leader and the general oversight of the Director and the Deputy Director of the Division. They may be called upon to collaborate with the IT division (CIO), the Office of the Chief Statistician (OCS) and relevant technical divisions. Technical Focus Consultants and PSA subscribers will focus on one or more of the following technical areas\:
Tasks and responsibilities The primary responsibility of this position is to employ big data, geospatial data and data science techniques to develop a range of solutions. In one or more of the above mentioned domains, Consultants and PSA subscribers will contribute to and/or take responsibility for one or more of the following tasks\:
They will perform other related duties as required. |
- For PSAs\: University degree in Statistics, Data Science, Computational Linguistics, Engineering, Geography, Remote Sensing, Agri-Environmental Data Science, Bioinformatics, Physics or related topics with strong computational elements.
- For Consultants\: Advanced University degree in Statistics, Data Science, Computational Linguistics, Engineering, Geography, Remote Sensing, Agri-Environmental Data Science, Bioinformatics, Physics or related topics with strong computational elements.
- 1 year of relevant experience in the above mentioned areas of work and / or fields of application.
- Working knowledge of English, French or Spanish and limited knowledge of the one of the other two or Arabic, Chinese, Russian would be an asset.
FAO Core Competencies
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Desirable skills and competencies
Extent and length of knowledge and experience in performing the above mentioned tasks and responsibilities in relevant statistical fields
PhD or equivalent degree in relevant disciplines – this may substitute for 1 year of experience
Ability to draft quickly, clearly and concisely and to communicate effectively in English
- Ability to work independently, with minimum supervision
Previous working experience with FAO and its partners in the above mentioned statistical domains and tasks
Experience in the provision of technical assistance to countries and/or professional experience in national statistical services
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Please note that all candidates should adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency
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