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.
Job Details
Country: Qatar
City: Doha
Industry: Airlines/Aviation
Function: R and D-Science
Salary: 20000-26000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Key Responsibilities
- 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
Ideal Profile
- 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
Why Join Us
- 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