Data Scientist

Saudi Air Navigation Services; Jeddah; On-site; SAR 180,000 - 220,000; Full time

Job summary

A leading aviation management organization in Jeddah seeks a data analysis lead to implement predictive models for air traffic management. The role involves transforming complex datasets into actionable insights, ensuring compliance with regulatory standards, and collaborating with technical teams. The ideal candidate has extensive experience in data analysis and a strong understanding of air traffic management operations. This position offers a unique opportunity to contribute to R&D initiatives in the aviation industry.

Qualifications

• Experience in data analysis and predictive modeling.
• Strong understanding of air traffic management operations.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Lead data analysis to support R&D initiatives.
• Design predictive models for air traffic management.
• Ensure compliance with regulatory standards.

Job description

Role Purpose

Lead the analysis of complex datasets to support R&D initiatives and innovation. Design and implement predictive models for air traffic management operations. Transform data into actionable insights to enable evidence-based decision-making. Ensure compliance with regulatory and safety-critical constraints in concept development within the set KPIs, agreed budgets and adopted policies and procedures.

Key Accountabilities & Activities

Key Accountability Areas Key Activities

Data Analysis

• Collect, preprocess, and analyse large datasets to uncover trends, optimise ATM processes, and predict system behaviors.
• Use statistical techniques and machine learning models to derive actionable insights from structured and unstructured data.
• Design, develop, and implement predictive and prescriptive analytics models tailored for ATM operations.
• Gather, organize, and analyse industry research and trends to provide competitive intelligence that informs R&D strategies.
• Build and maintain reusable data pipelines to facilitate seamless integration and processing of large-scale datasets.

Concept Development

• Apply advanced analytics to test and validate Proof of Concept (PoC) initiatives, using data to refine and enhance R&D prototypes.
• Develop innovative data solutions that support R&D concepts progressing through different stages of the technology readiness levels (TRLs).
• Collaborate with the Knowledge & Insights team to integrate industry research and trends into analytics models, ensuring alignment with future R&D priorities.

Data Driven Decision Making

• Monitor and improve data pipelines and analytics tools for real-time or near-real-time applications in air traffic management.
• Provide insights that optimize airspace usage, reduce delays, and improve safety outcomes for aviation operations.
• Collaborate with engineers, domain experts, and stakeholders to define problems and deliver innovative data solutions.
• Translate complex data findings into actionable insights that are understandable for technical and non-technical audiences alike, fostering data-driven decision-making.

Data Governance and Compliance

• Ensure all data analysis activities comply with regulatory standards and ethical considerations, maintaining integrity and transparency.
• Incorporate safety-critical constraints into analytics models to meet aviation industry requirements and ensure operational feasibility.
• Regularly audit data models and processes to identify risks and ensure compliance with international and organizational standards.
• Support the secure management of sensitive and critical data, ensuring alignment with SANS’s data governance policies..

Policies, Processes and Procedures

• Conduct day-to-day activities while ensuring compliance to policies and procedures
• Contribute to the identification of opportunities for continuous improvement of systems, processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement