Manager Data Science Revenue Management Airways

Manager Data Science Revenue Management - Qatar Airways - Doha, Qatar Position Overview

Manager Data Science Revenue Management roles in Doha, Qatar lead advanced analytics and machine learning initiatives that power data-driven revenue optimization across Qatar Airways. This role manages high-impact data science programs, translates complex analytics into commercial value, and partners with revenue management, pricing, finance, and operations teams to drive sustainable revenue growth.

Country:
Qatar

City:
Doha

Industry: Airlines/Aviation

Function: R and D-Science

Salary:  monthly (Market estimated)

Gender: Any

Candidate Nationality:
Any

Job Type: Full-time

• Shape and execute the data science strategy for revenue management, continuously enhancing analytical capabilities and methodologies
• Lead the design, development, and deployment of predictive models, pricing algorithms, demand forecasting, and optimization tools
• Partner with commercial, pricing, finance, IT, and operations teams to identify revenue growth opportunities and deliver AI and ML-powered solutions
• Define problem statements, hypotheses, success metrics, and delivery roadmaps for data science initiatives
• Apply advanced analytical techniques including machine learning, statistical modelling, forecasting, and optimization to complex airline datasets
• Collaborate with data engineering teams to deploy, monitor, and maintain production-grade models with high accuracy and reliability
• Manage end-to-end data science projects, ensuring alignment with business objectives, timelines, and measurable outcomes
• Build strong stakeholder relationships across corporate planning, B2C, IT, finance, and commercial functions
• Coach, mentor, and lead a team of data scientists to deliver scalable, production-ready models with clear business impact
• Promote best practices in model governance, performance tracking, and continuous improvement

• Bachelor's degree or equivalent in mathematics, statistics, computer science, engineering, or a related field with a minimum of 8 years of relevant experience
• Strong expertise in statistical analysis, machine learning, forecasting, optimization, and operations research
• Proven experience developing and deploying AI and ML models using large, complex datasets
• Advanced programming skills in Python, R, SQL, or similar languages
• Good understanding of airline business processes including network planning, scheduling, marketing, sales, digital channels, and customer behavior
• Demonstrated leadership experience managing and developing high-performing data science teams
• Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders
• Excellent command of English with strong collaboration and stakeholder engagement abilities

• Lead enterprise-scale data science initiatives within a world-class airline
• Influence strategic revenue decisions through advanced analytics and AI
• Work with large-scale, real-world datasets in a mission-critical commercial environment
• Build a long-term leadership career in analytics and revenue management based in Doha, Qatar