Statistician
@ Food and Agriculture Organization (FAO).
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. The Division is responsible for the permanent improvement, methodological development and implementation of its statistical processes in the corporate Statistical Working System (SWS).
Within Statistics Division, the Methodological Innovation Team is responsible for the development of methods, standards, tools, norms, and classifications used mainly within the organization with the objective to improve the efficiency of FAO’s statistical system and the quality of its output. The Statistical Working System (SWS) is an essential tool for the improvement and harmonization of FAO statistical processes that is strategic to the delivery of the corporate statistics work programme.
Reporting Lines:
Consultants and PSA subscribers will work under the immediate supervision of one or more Team Leaders, and the general oversight of the Director and the Deputy Director of ESS. They may be called upon to collaborate with other FAO Divisions and teams.
Technical Focus:
Consultants and PSA subscribers will work on establishing methods and standards to improve the efficiency of corporate statistical processes and the quality of statistical outputs in one or more of the following statistical domains:
• Food balance sheets and Supply Utilization Accounts (agricultural production, trade, stocks, and other utilization statistics)
• Crops, livestock, forestry or fishery statistics;
• Food security and nutrition statistics;
• Prices, costs of production, investment and public expenditure statistics;
• Agro-environmental statistics including Fertilizers, Pesticides and Land Use;
• Climate change relevant statistics and indicators, including GHG emissions;
• Land cover/land use statistics and crop mapping/area estimates;
Tasks and responsibilities:
In one or more of the above-mentioned statistical domains, Consultants and PSA subscribers will contribute to and/or take responsibility for one or more of the following tasks:
• Support the methodological development of FAO statistical processes to improve data processing, data analysis, disaggregation methods, imputation of missing data, data validation, testing methodologies and quality control. The statistical processes will be used in the corporate Statistical Working System (SWS) to underpin FAO’s statistical data production.
• Proficiently use statistical software languages (particularly R) on a sufficient level to program the statistical methods and processes,
• Carry out tests, data analysis and validation.
• Support metadata improvements.
• Archive, communicate and disseminate statistical products
They will perform other related duties as required.
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING:
Minimum Requirements:
• University degree in statistics, data science, economics, social sciences, environmental sciences, or a related and relevant field.
• At least 1 year of relevant experience for PSA subscribers and at least 3 years of relevant experience for COF consultants in the compilation, analysis and methodological development of food and agricultural statistics in national or international organizations
• Working knowledge of English (level C).
FAO Core Competencies
• Results Focus
• Teamwork
• Communication
• Building Effective Relationships
• Knowledge Sharing and Continuous Improvement
Technical/Functional Skills
• Extent and length of knowledge and experience in performing the above-mentioned tasks and responsibilities in relevant statistical fields
• Strong command of statistical methods including: data presentation, analysis and descriptive statistics; main continuous and discrete random variables (binomial, normal, standard normal, log-normal) and their properties; probability distributions; conditional probability, probabilities of intersections of events, Bayes' theorem; correlation and rank correlation; sampling and sample size: simple, stratified, and multistage random sampling; Inference, confidence intervals, hypothesis testing and significance; linear regression (single and multiple) comparison of population means and variances, ANOVA; Chi-square and goodness of fit tests; nonlinear models: maximum likelihood estimation; elements of survey and questionnaire design
• Highly advanced statistical skills and R-programming skills and as well as the ability to quickly master and apply new methods
• Ability to make recommendations and advise decision-makers on highly technical issues
• General understanding of databases and complex technological systems
• Ability to understand statistical producer requirements
• Ability to design a module architecture
• Effective collaborator, in particular familiar with Git
• Ability to draft quickly, clearly and concisely and to communicate effectively in English
• Limited knowledge of a second UN language would be an asset
• Ability to work independently, with minimum supervision, assume initiative and to multi-task
• 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
• Focus on delivery and on meeting tight deadlines.
Please note that all candidates should adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency
ADDITIONAL INFORMATION:
. FAO does not charge any fee at any stage of the recruitment process (application, interview, processing)
. Please note that FAO will only consider academic credentials or degrees obtained from an educational institution recognized in the IAU/UNESCO list
. Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU) / United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed at http://www.whed.net/
. For more information, visit the FAO employment website
. Appointment will be subject to certification that the candidate is medically fit for appointment, accreditation, any residency or visa requirements, and security clearances.
HOW TO APPLY
• To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, and language skills
• Candidates are requested to attach a letter of motivation to the online profile
• Once your profile is completed, please apply, and submit your application
• Candidates may be requested to provide performance assessments and authorization to conduct verification checks of past and present work, character, education, military and police records to ascertain any and all information which may be pertinent to the employment qualifications
• Incomplete applications will not be considered
• Personal information provided on your application may be shared within FAO and with other companies acting on FAO’s behalf to provide employment support services such as pre-screening of applications, assessment tests, background checks and other related services. You will be asked to provide your consent before submitting your application. You may withdraw consent at any time, by withdrawing your application, in such case FAO will no longer be able to consider your application
• Only applications received through the FAO recruitment portal will be considered
• Your application will be screened based on the information provided in your online profile
• We encourage applicants to submit the application well before the deadline date.
@ Food and Agriculture Organization (FAO).
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. The Division is responsible for the permanent improvement, methodological development and implementation of its statistical processes in the corporate Statistical Working System (SWS).
Within Statistics Division, the Methodological Innovation Team is responsible for the development of methods, standards, tools, norms, and classifications used mainly within the organization with the objective to improve the efficiency of FAO’s statistical system and the quality of its output. The Statistical Working System (SWS) is an essential tool for the improvement and harmonization of FAO statistical processes that is strategic to the delivery of the corporate statistics work programme.
Reporting Lines:
Consultants and PSA subscribers will work under the immediate supervision of one or more Team Leaders, and the general oversight of the Director and the Deputy Director of ESS. They may be called upon to collaborate with other FAO Divisions and teams.
Technical Focus:
Consultants and PSA subscribers will work on establishing methods and standards to improve the efficiency of corporate statistical processes and the quality of statistical outputs in one or more of the following statistical domains:
• Food balance sheets and Supply Utilization Accounts (agricultural production, trade, stocks, and other utilization statistics)
• Crops, livestock, forestry or fishery statistics;
• Food security and nutrition statistics;
• Prices, costs of production, investment and public expenditure statistics;
• Agro-environmental statistics including Fertilizers, Pesticides and Land Use;
• Climate change relevant statistics and indicators, including GHG emissions;
• Land cover/land use statistics and crop mapping/area estimates;
Tasks and responsibilities:
In one or more of the above-mentioned statistical domains, Consultants and PSA subscribers will contribute to and/or take responsibility for one or more of the following tasks:
• Support the methodological development of FAO statistical processes to improve data processing, data analysis, disaggregation methods, imputation of missing data, data validation, testing methodologies and quality control. The statistical processes will be used in the corporate Statistical Working System (SWS) to underpin FAO’s statistical data production.
• Proficiently use statistical software languages (particularly R) on a sufficient level to program the statistical methods and processes,
• Carry out tests, data analysis and validation.
• Support metadata improvements.
• Archive, communicate and disseminate statistical products
They will perform other related duties as required.
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING:
Minimum Requirements:
• University degree in statistics, data science, economics, social sciences, environmental sciences, or a related and relevant field.
• At least 1 year of relevant experience for PSA subscribers and at least 3 years of relevant experience for COF consultants in the compilation, analysis and methodological development of food and agricultural statistics in national or international organizations
• Working knowledge of English (level C).
FAO Core Competencies
• Results Focus
• Teamwork
• Communication
• Building Effective Relationships
• Knowledge Sharing and Continuous Improvement
Technical/Functional Skills
• Extent and length of knowledge and experience in performing the above-mentioned tasks and responsibilities in relevant statistical fields
• Strong command of statistical methods including: data presentation, analysis and descriptive statistics; main continuous and discrete random variables (binomial, normal, standard normal, log-normal) and their properties; probability distributions; conditional probability, probabilities of intersections of events, Bayes' theorem; correlation and rank correlation; sampling and sample size: simple, stratified, and multistage random sampling; Inference, confidence intervals, hypothesis testing and significance; linear regression (single and multiple) comparison of population means and variances, ANOVA; Chi-square and goodness of fit tests; nonlinear models: maximum likelihood estimation; elements of survey and questionnaire design
• Highly advanced statistical skills and R-programming skills and as well as the ability to quickly master and apply new methods
• Ability to make recommendations and advise decision-makers on highly technical issues
• General understanding of databases and complex technological systems
• Ability to understand statistical producer requirements
• Ability to design a module architecture
• Effective collaborator, in particular familiar with Git
• Ability to draft quickly, clearly and concisely and to communicate effectively in English
• Limited knowledge of a second UN language would be an asset
• Ability to work independently, with minimum supervision, assume initiative and to multi-task
• 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
• Focus on delivery and on meeting tight deadlines.
Please note that all candidates should adhere to FAO Values of Commitment to FAO, Respect for All and Integrity and Transparency
ADDITIONAL INFORMATION:
. FAO does not charge any fee at any stage of the recruitment process (application, interview, processing)
. Please note that FAO will only consider academic credentials or degrees obtained from an educational institution recognized in the IAU/UNESCO list
. Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU) / United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed at http://www.whed.net/
. For more information, visit the FAO employment website
. Appointment will be subject to certification that the candidate is medically fit for appointment, accreditation, any residency or visa requirements, and security clearances.
HOW TO APPLY
• To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, and language skills
• Candidates are requested to attach a letter of motivation to the online profile
• Once your profile is completed, please apply, and submit your application
• Candidates may be requested to provide performance assessments and authorization to conduct verification checks of past and present work, character, education, military and police records to ascertain any and all information which may be pertinent to the employment qualifications
• Incomplete applications will not be considered
• Personal information provided on your application may be shared within FAO and with other companies acting on FAO’s behalf to provide employment support services such as pre-screening of applications, assessment tests, background checks and other related services. You will be asked to provide your consent before submitting your application. You may withdraw consent at any time, by withdrawing your application, in such case FAO will no longer be able to consider your application
• Only applications received through the FAO recruitment portal will be considered
• Your application will be screened based on the information provided in your online profile
• We encourage applicants to submit the application well before the deadline date.
- Go to Job Link
- Jobs
- Closing date: 24-06-2025