Data scientist
Contribute to a global database measuring media perception.
This opening expired 1 year ago.
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Overview
Contribute to a global database measuring media perception.
You have:
- An advanced university degree (Master or equivalent) in economics, statistics, data science or similar field is required.
- At least 6 years experience of working with data analysis, economic modelling, or economic analysis in a professional or academic setting is required.
- Proficiency in a statistical programming language, preferably R, is required.
- Proficiency in a data science programming language, preferably Python, is required.
- Additional experience with SQL, Git, R Markdown, and Jupyter Lab is desirable.
- Fluency spoken and written in English is required.
Contract
This is a Consultancy contract. More about Consultancy contracts.
Result of Service
The consultant will contribute to the creation of a new global database measuring the perception and relative incidence of various topics in the media.
Work Location
Home-Based
Expected duration
29.07.24 to 15.03.25
Duties and Responsibilities
This position is located in the Office of the Secretary-General of UNCTAD, in the Technical Team of the Global Crisis Response Group. Under the direct supervision of the lead data scientist and the overall supervision of the Senior Coordinator, and within delegated authority, the consultant will be responsible for: - Supporting and furthering the team's existing date projects; - Researching potential future projects, including, but not limited to: the development and creation of a media perception dataset and index, and the creation of economic indicators from satellite imagery and geospatial data; - Identifying trends and patterns in data on the effects of the global crisis on food, energy and finance on the world economy and particularly developing countries; - Assessing the effectiveness and accuracy of new data sources and data gathering techniques; - Developing custom data models, algorithms, and economic models to apply to data sets of the GCRG, and maintaining comprehensive and well-structured documentation of algorithms, models, and code; - Maintaining and organizing the databases needed or generated by the Technical Team.
Qualifications/special skills
An advanced university degree (Master or equivalent) in economics, statistics, data science or similar field, is required. At least 6 years experience of working with data analysis, economic modelling, or economic analysis in a professional or academic setting is required. Proficiency in a statistical programming language, preferably R, and a data science programming language, preferably Python is required. Additional experience with SQL, Git, R Markdown and Jupyter Lab is desirable.
Languages
Fluency spoken and written in English is required.
Additional Information
Not available.
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.
Potential interview questions
| Can you describe your experience with data analysis and how it relates to economic modeling? | This question assesses your practical experience and its relevance to the role. | Discuss specific projects you've worked on, highlighting methodologies and outcomes. |
| What programming languages are you proficient in and how have you applied them in your work? | The interviewer wants to gauge your technical skills and their application. | Pro members can see the explanation. |
| Describe a situation where you had to assess the effectiveness of a new data source. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you stay updated with the latest trends in data science and economic modeling? | Pro members can see the explanation. | Pro members can see the explanation. |
| Explain how you would approach developing a media perception index. | Pro members can see the explanation. | Pro members can see the explanation. |
Added 1 year ago
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Updated 1 year ago
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Source:
careers.un.org
