Manager, Data Science – Revenue Optimization

Qatar Airways

Qatar

On-site

QAR 223,200 - 290,160

Full time

14 days+
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Benefits offered by this job

Leadership career opportunities
Advanced analytics environment
Work with large-scale datasets

Job summary

Qatar Airways in Doha, Qatar is looking for a Manager Data Science Revenue Management. This role leads advanced analytics initiatives to optimize revenue across the airline. With a focus on machine learning and data science, the successful candidate will work closely with multiple teams and ensure alignment with business objectives.

The ideal candidate should have at least 8 years of experience, a degree in a relevant field, and expertise in statistical analysis and machine learning.

Join us to influence strategic revenue decisions within a world-class airline.

Qualifications

  • Minimum of 8 years of relevant experience.
  • Proven experience developing and deploying AI and ML models using large datasets.
  • Strong communication skills to explain analytical concepts.

Responsibilities

  • Shape and execute data science strategy for revenue management.
  • Lead design and deployment of predictive models and pricing algorithms.
  • Manage end-to-end data science projects ensuring measurable outcomes.

Skills

Statistical analysis
Machine learning
Forecasting
Optimization
Python
R
SQL
Leadership
Communication

Education

Bachelor's degree in mathematics, statistics, computer science, engineering, or related field

Job description

Qatar Airways in Doha, Qatar is looking for a Manager Data Science Revenue Management. This role leads advanced analytics initiatives to optimize revenue across the airline. With a focus on machine learning and data science, the successful candidate will work closely with multiple teams and ensure alignment with business objectives.

The ideal candidate should have at least 8 years of experience, a degree in a relevant field, and expertise in statistical analysis and machine learning.

Join us to influence strategic revenue decisions within a world-class airline.

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