Expert Data Scientist
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. In the GCC market, this role is actively hired across saudi with 2 recent postings.
A Expert Data Scientist in the GCC region requires machine learning, python, power bi, tableau, analytical. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. This role is in demand across the Gulf Cooperation Council countries.
Salary across the GCC
Monthly gross median in local currency, by country × seniority.
| Country | Junior | Mid-Level | Senior | Lead / Principal |
|---|---|---|---|---|
| United Arab Emirates | 18,500 AED | 31,500 AED | 49,000 AED | 68,000 AED |
| Saudi Arabia | 17,500 SAR | 30,000 SAR | 47,000 SAR | 65,000 SAR |
| Qatar | 19,000 QAR | 33,000 QAR | 51,500 QAR | 71,000 QAR |
| Kuwait | 1,500 KWD | 2,600 KWD | 4,000 KWD | 5,550 KWD |
| Oman | 1,650 OMR | 2,900 OMR | 4,450 OMR | 6,200 OMR |
| Bahrain | 1,600 BHD | 2,750 BHD | 4,250 BHD | 5,900 BHD |
How Expert Data Scientist pay varies in the UAE
UAE · mid-level · monthly gross in AED
Based on 500 data points · updated June 15, 2026 · How we estimate
By company size
Median compensation varies with headcount.
Top-paying industries
Median for this role, ranked by sector.
Estimates modelled from GCC pay surveys and live posting volume — a directional guide, not a live salary feed.
Top hiring companies
- Master-Works
Active markets
- saudi
- 01
standard metrics (Accuracy, Precision, Recall, F1, AUC). Optimize and fine
- 02
technical audiences. Maintain proper documentation for model design and deployment. Language Requirement: Fluent Arabic (mandatory)
- 03
1. Data Analysis & Modeling
- 04
Collect, clean, transform, and analyze data from different sources.
- 05
Perform exploratory data analysis (EDA) to identify trends and patterns.
- 06
Design, develop, and validate machine learning and AI models.
- 07
Select appropriate algorithms and techniques for each use case.
- 08
Evaluate model performance using industry
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