Data Scientist jobs in Saudi Arabia

In this role, you will join a mission-driven, globally distributed environment where data plays a central role in advancing large-scale community and impact initiatives. You will work within a complex data ecosystem, transforming diverse data sources into reliable pipelines, dashboards, and insights that support strategic decision-making. The position offers broad exposure across programs, partnerships, and grant‑funded initiatives, with a strong emphasis on ethical data use and accessibility. You will collaborate closely with cross‑functional teams, enabling leaders to measure outcomes, adapt strategies, and continuously improve impact. This role combines hands‑on technical work with analytical thinking and stakeholder communication. It is well suited for someone who enjoys building resilient data foundations while influencing real‑world outcomes at scale.

• Design, build, and maintain robust data pipelines and data models to support program outcomes, grant‑funded activities, and long‑term impact measurement
• Develop and maintain self‑service dashboards and reports that enable teams and leadership to make informed, data‑driven decisions
• Analyze trends and patterns across multiple datasets to surface actionable insights that guide strategy, partnerships, and program interventions
• Define and improve data processes, including ETL workflows, aggregation, and storage, to ensure efficiency, reliability, and scalability
• Collaborate with cross‑functional data and technology teams to align metrics, methodologies, and reporting standards across the organization
• Proactively identify gaps, requirements, and opportunities to strengthen and evolve the broader data ecosystem

• Fluency in English, with the ability to clearly communicate complex findings to both technical and non‑technical stakeholders
• Bachelor’s degree with at least five years of relevant experience, or a Master’s degree with at least three years of experience in data science, analytics, research, or a related field
• Strong programming experience, particularly with SQL and Python, including API integrations, authentication, pagination, and JSON data handling
• Hands‑on experience with large‑scale data processing and storage technologies such as Hadoop, Hive, Presto, and Spark
• Proven experience with data visualization and dashboarding tools, such as Apache Superset, Looker Studio, or similar platforms
• Solid working knowledge of collaborative tools, including Google Workspace and advanced spreadsheet usage
• Strong problem‑solving skills, sound judgment in selecting analytical approaches, and a continuous learning mindset
• Familiarity with ethical data practices, privacy considerations, and responsible data management

• Competitive compensation aligned with experience, skills, and location
• Fully remote‑friendly work environment with flexibility and autonomy
• Opportunity to work on meaningful, global‑impact initiatives supported by data
• Collaborative, inclusive, and international team culture
• Professional development opportunities and exposure to complex, real‑world data challenges
• Comprehensive benefits package in line with local employment standards