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Senior Data Scientist

Job in Jeddah, Saudi Arabia
Listing for: Islamic Development Bank
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

JOB PURPOSE

Undertake advanced statistical and data science work. This includes compiling, harmonizing, developing and disseminating key statistical indicators and predictive models to support evidence‑based research and inform management decisions. Provide high‑quality, timely statistics and data‑driven insights that are crucial for guiding IsDB’s operational strategies and enhancing country‑level dialogues. A core part of the role involves ensuring that the IsDB website is updated with the latest high‑quality data and analytical insights on the bank’s interventions and its member countries.

Additionally, the role involves developing and maintaining robust, well‑governed databases and data pipelines leveraging modern data technologies and advanced analytical methods, including machine learning, using platforms such as Microsoft Azure. It also promotes the adoption of innovative data techniques across the IsDB Group and its Member Countries while coordinating with regional and international statistical agencies to align with global statistical standards and initiatives.

KEY

ACCOUNTABILITIES Policy and Strategy Planning

Contribute to the Division’s annual work plans, programs and activities and to the development and implementation of strategies, policies, procedures, and guidelines of the IsDB Institute. Contribute to the effective risk management and country vulnerability and debt sustainability assessments of IsDB member countries.

Statistical Analysis

Utilize advanced visualization tools and programming languages (Python, R, Tableau, Power

BI, JavaScript, etc.) and modern web technologies and cloud‑based analytics tools to transform raw data into interactive dashboards and easy‑to‑understand graphical representations, including web‑based data applications and institutional analytical products. Develop and improve aggregation techniques and methods to meet international standards, including reproducible statistical workflows, automated indicator calculation pipelines, and documented methodological standards. Refine and optimize code to improve efficiency and ensure scalability, maintainability, security and performance across data pipelines, APIs, dashboards and analytical applications.

Knowledge

Sharing and Dissemination

Guide and facilitate the knowledge transfer of the Division’s analyses and findings to other employees within the IsDB Group and externally to Regional Hubs, ensuring awareness. Contribute to and coordinate the annual and periodic events conducted by the IsDB Institute such as seminars, regional workshops, NGO seminars and capacity‑building workshops. Participate in the preparation of statistical outputs and the Division’s publications and releases.

Develop, participate in and contribute to relevant internal and external training, conferences and other activities for advocacy, dissemination and knowledge building in member countries in collaboration with other regional and international organisations. Report IsDB operational data on the relevant global datasets and global reports. Organise statistical events and capacity development initiatives including OIC‑STATCOM regional workshops, seminars, etc.

Reporting

Prepare periodic and thematic statistical reports and contribute to the preparation of relevant reports for the use and information of internal and external parties. Coordinate with other stakeholders to present the reports and publications related to the performance of Division’s programs.

Leadership and Mentoring

Mentor data scientists, guiding them in complex data projects and fostering a culture of knowledge sharing and collaboration.

Innovation and Strategic Contributions

Lead and contribute to strategic projects that leverage innovative data science methods to drive decision‑making and policy formulation.

ACADEMIC AND PROFESSIONAL QUALIFICATIONS
  • Bachelor’s degree in statistics, data science, programming, information management or related fields.
  • Minimum 8 years of experience in advanced economic analysis focusing on economic and developmental issues, of which 3 years in an international development institution or national statistical office.
LANGUAGES
  • English – Mandatory
  • Arabic…
Position Requirements
10+ Years work experience
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