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Data Scientist

Job in Abu Dhabi, UAE/Dubai
Listing for: GAL Global Aerospace Logistics
Full Time position
Listed on 2026-02-13
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

JOB DESCRIPTION & REQUIREMENTS

Data Scientist

We are an Emirati company focused on creating a balanced, expert workforce, specialising in aviation services, for the UAE.
Come join us today!

Overview

Data Scientist is responsible to extract insights from structured and unstructured data, build predictive models, and support data-driven decision-making across the organization. The role involves applying statistical analysis, machine learning, and data visualization to solve complex business problems.

DUTIES AND RESPONSIBILITIES
  • Collect, clean, analyze, and interpret large datasets from multiple sources.
  • Develop statistical models, machine learning algorithms, and predictive analytics solutions.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
  • Translate business requirements into analytical and data science solutions.
  • Build dashboards, reports, and visualizations to communicate insights to stakeholders.
  • Collaborate with data engineers and software developers to deploy models.
  • Validate and monitor model performance and accuracy.
  • Ensure data quality, governance, privacy, and compliance.
  • Document methodologies, models, and assumptions.
SUPERVISORY RESPONSIBILITY

May lead small team of Data Scientist Team in delivering project modules

COMMUNICATIONS

Must be able to communicate well in English language in order to write software technical documentation, create coding standards & instructions and to effectively interact with Project Lead, Development team and Technical staffs. Knowledge of Arabic is a plus.

OTHER FACTORS
  • Master’s degree or PhD in Data Science, Statistics, or related field.
  • Experience with Big Data tools (Spark, Hadoop).
  • Knowledge of data governance, data ethics, and explainability.
  • Relevant certifications in Data Science or Analytics.
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