Mobile Phone Data related Expert (Cat. II)

NTU International A/S is leading a consortium for a new EU funded project - Technical Assistance to National Institute of Statistics NISR and is looking to identify individual experts to carry out the assignment.

The objective of this assignment is to contribute to the modernization of statistics production in Rwanda and improve uptake of statistics across the National Statistics System.

Location: Kigali, Rwanda

Duration: The indicative start date is 30/11/2024 and the period of implementation of the contract will be 730 days from this date (indicative end date: 30/11/2026).

Mobile Phone Data related Expert (Cat. II)

The expert will design and deliver a comprehensive training program specifically for Mobile Phone Data (MPD). The training program will focus on collecting, cleaning and analysing Mobile Phone Data (MPD) to compute tourism and mobility statistics. The expert should have In-Depth Knowledge of data analysis using R or Python and conversant with mobile phone data. The expert should have an In-Depth Knowledge of producing mobile phone synthetic data.

Expert category: Home Based - Cat. II (>6 years of experience)

Qualifications and skills required:

• Master’s Degree or Ph.D. in Data Engineering, Data Science, Statistics, Big Data Analytics, Computer Science, or a related field.
• Expertise in data engineering, including experience with R, Python, and other data science analysis tools.
• Expertise in SQL and NoSQL databases.
• Strong understanding of data privacy, legal, and ethical considerations.
• Proven ability to design and deliver technical training programs.
• Experience in integrating mobile data with traditional data sources.
• Language skills: English.

General professional experience:

• Minimum of 6 years of experience in Data engineering and Analytics.
• Experience in handling large datasets and developing scalable data processing workflows.

Specific professional experience:

• At least 3 years of experience working with Mobile Phone Data (MPD) for statistical or research purposes.
• Proven track record of designing and implementing training programs focused on data engineering and analytics.

Number of working days: 60 days

If you are interested in this opportunity, please apply and upload your CV via LinkedIn or send to recruitment@ntu.eu. Please note that only selected candidates will be contacted due to the large amount of applicants.

Deadline: 10th of October, 2024.