Project Assistant

Beirut, Lebanon
negotiable Expires in 3 months

JOB DETAIL

Result of Service
The incumbent is required to: – submit a roadmap for scanner data implementation; – submit national web scraping tools; – assist in national capacity building activities on developing web scraping algorithms; – prepare presentations on new data sources, including web scraping, scanner data and others.
Work Location
UN-House ESCWA
Expected duration
6 Months
Duties and Responsibilities
Background: The project aims at improving, expanding and modernizing economic statistics output in the Arab region by developing new economic indices, sustaining and improving the compilation and dissemination of annual official National Accounts and financial statistics data including CPI and inflation data while sustaining the production of a quarterly inflation monitor, and applying innovative Big Data tools in data collection. Under the scope of Big Data, the project looks to research new data sources and utilize alternative data collection methods to improve the process of regular price collection in member states through the development of automated tools aiming to reduce the burden on member countries and improve collection frequency and timeliness, and data accuracy. The incumbent shall: – Assist in developing and improving national price web scraping templates and automation tools; – Assist in training member country representatives on web scraping for price collection; – Assist in researching scanner data application in the Arab region; – Assist in developing python and R libraries and packages for price index computations; – Research other alternative data collection tools; – Perform other duties as assigned.
Qualifications/special skills
A Bachelor’s degree in computer science, computer engineering, data science or a related area is required. A Master’s degree in the same fields is desirable. No previous work experience is required for this job opening. Knowledge of the field of data science, web scraping techniques, conducting research, and Python programming is required. Knowledge of machine learning, and scanner data is desirable.
Languages
English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in both English and Arabic are required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.
Additional Information
Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location.
No Fee
THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.
Beirut, Lebanon

location