Senior Data Science and Revenue Analytics Jobs

Qatar Airways

Qatar

On-site

QAR 312,480 - 468,720

Full time

14 days+
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Benefits offered by this job

Competitive salary and benefits package
Career growth opportunities
Collaborative and multicultural workplace

Job summary

Qatar Airways is seeking a Senior Data Scientist to lead analytics initiatives in Doha. The role emphasizes advanced analytics and machine learning to enhance revenue performance in the airline industry.

Ideal candidates will have at least 6 years of relevant experience and a degree in a quantitative field. This position offers a competitive salary, career growth prospects, and the chance to work with cutting-edge technologies in a multinational setting.

Qualifications

  • Minimum 6 years of experience in data science, analytics, or related roles.
  • Strong knowledge of statistics, forecasting, and optimization techniques.
  • Understanding of airline or commercial business processes preferred.

Responsibilities

  • Lead and manage a team of data analysts to deliver analytics solutions.
  • Design and implement data science models including machine learning and forecasting.
  • Support revenue management strategies using data-driven insights.

Skills

Data analysis
Machine learning
Statistical modeling
Analytical thinking
Communication

Education

Bachelor’s or master’s degree in mathematics, statistics, computer science, or engineering

Tools

Data analytics platforms
Programming languages

Job description

Senior data science and revenue analytics jobs in Doha focus on leveraging advanced analytics, machine learning, and statistical modeling to drive commercial performance and revenue optimization in the airline industry.

Job Details:
Location: Qatar – Doha
Industry: Airlines/Aviation
Function: Data Science
Salary: 28,000-42,000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Preferred Location: Any
Job Type: Full-time

What You'll Do
  • Lead and manage a team of data analysts to deliver analytics solutions
  • Design and implement data science models including machine learning and forecasting
  • Analyze large and complex datasets to identify trends and opportunities
  • Support revenue management strategies using data‑driven insights
  • Develop business cases and recommendations based on analytics findings
  • Translate complex data concepts into clear insights for stakeholders
  • Collaborate with IT and business teams to implement data solutions
  • Build and maintain data sources and ensure data quality and integrity
  • Develop reports, dashboards, and performance tracking tools
  • Identify opportunities for process improvement and automation
  • Support implementation of data platforms including cloud and data lake solutions
Ideal Profile
  • Bachelor’s or master’s degree in mathematics, statistics, computer science, or engineering
  • Minimum 6 years of experience in data science, analytics, or related roles
  • Strong knowledge of statistics, forecasting, and optimization techniques
  • Experience with machine learning and data modeling
  • Understanding of airline or commercial business processes preferred
  • Strong problem‑solving and analytical thinking skills
  • Excellent communication and stakeholder management abilities
  • Proficiency in data tools, programming, and analytics platforms
  • Ability to work with large datasets and complex systems
Why Join Us
  • Opportunity to work on advanced analytics in a global airline environment
  • Contribute to revenue optimization and strategic decision making
  • Career growth within a leading aviation organization
  • Exposure to cutting‑edge data science technologies
  • Competitive salary and benefits package
  • Collaborative and multicultural workplace
About the Company

Qatar Airways Group is a globally recognized airline headquartered in Doha, known for its innovation, operational excellence, and customer‑focused services. The organization leverages advanced data analytics and technology to enhance performance, optimize revenue, and deliver world‑class travel experiences.

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