Data Scientist

Food and Agriculture Organization of the United Nations
Posted on

Type

Junior industry position

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:

 
  • Identify suitable big data sources or EO sources where appropriate;
  • Develop solutions using big data such as machine learning and statistical techniques to improve current estimates of statistical variables (e.g. agricultural prices, crop acreage and yields, land use,..) in terms of their coverage, timeliness and accuracy;
  • Develop solutions using text mining methods such as clustering, classification, information retrieval, topic discovery, summarization, topic extraction;
  • Develop models for semantic analysis using natural language processing (NLP) and analytical methods that are accurate and scalable;
  • Be proficient in quickly developing models, as well as taking prototypes to full production;
  • Perform operationally-relevant data analysis ranging from text mining, to web scraping, machine learning, crowdsourcing, around structure and unstructured data sources; develop and apply new and existing models and algorithms;
  • Perform operationally-relevant data analysis ranging from image processing, to geospatial analysis and machine learning methods;  develop and apply new and existing models and algorithms;
  • Publish well documented, reproducible work;
  • Assist in developing forecasting and nowcasting models using data from social networks, on-line databases, administrative data, satellite imagery or transaction records.
 

They will perform other related duties as required.

 

 
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING
 
 
Minimum Requirements
 
  • 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
  • Results Focus
  • Teamwork
  • Communication
  • Building Effective Relationships
  • Knowledge Sharing and Continuous Improvement

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

More Information

Posted on

Type

Junior industry position

Rome%2C%20Italy

Rome , Italy