Senior Data Scientist (Remote from Saudi Arabia)

Jobgether; Remote; SAR 224,000 - 300,000; Full time

Job summary

An international data-driven organization is seeking a Data Analyst in Saudi Arabia. This position involves designing and maintaining robust data pipelines, developing self-service dashboards, and analyzing trends across datasets. Ideal candidates should have a strong background in data science and analytics, with proficiency in SQL, Python, and data visualization tools. The role is fully remote-friendly and offers competitive compensation along with a collaborative work culture focused on impactful global initiatives.

Benefits

Competitive compensation

Remote-friendly work environment

Professional development opportunities

Qualifications

• 5+ years of experience in data science or analytics; a Master's degree plus 3 years is acceptable.
• Programming experience with API integrations and JSON data handling.
• Knowledge of ethical data practices and privacy considerations.

Responsibilities

• Design and maintain robust data pipelines and models.
• Develop self-service dashboards for data-driven decision-making.
• Analyze data trends to inform strategy and program interventions.

Skills

Fluency in English

Strong programming with SQL

Hands-on experience with Hadoop

Data visualization tools

Problem-solving skills

Education

Bachelor’s degree in relevant field

Master’s degree in relevant field

Tools

Apache Superset

Looker Studio

Hadoop

Python

Job description

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.

Accountabilities

• 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

Requirements

• 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

Benefits

• 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