Senior Data Science Analyst
General Information
Ref # 235338
Location: Qatar-Doha
Job family: Pilots & Flight Operations
Closing Date: 2026-08-19
Description
About the role
Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.
The Senior Data Science Analyst will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). This role involves leveraging a wide range of methodologies, including machine learning, optimization, root cause analysis, and prototyping decision-support tools. The successful candidate will deliver actionable insights and provide strategic recommendations to senior management and business stakeholders.
Specific Responsibilities For The Role Include
- Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.
- Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.
- Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations teams to understand contextual problems and deliver innovative solutions that address business needs.
- Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.
- Develop and deploy machine learning and optimization models.
- Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.
- Leverage emerging tools, open-source frameworks, and cloud technologies (including Gemini Enterprise Agent Platform and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.
You have the chance to be a part of our future and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.
Together, everything is possible.
Qualification
About You The successful candidate will have the following skills and qualifications:
- Bachelor’s degree in mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.
- Minimum of 5 years of relevant experience and minimum 3 years’ experience in Data Science role.
- Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.
- Excellent presentation skills and data visualization.
- Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.
- Hands-on experience with Gemini Enterprise Agent Platform and frameworks like TensorFlow, PyTorch, and Keras.
- Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.
- Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.
- Experience with top-tier BI tools such as Qlik, Power BI, Tableau.
- Experience with the Skywise platform will be considered an asset.
- Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of partners, senior managers, and subject matter experts.
- Any certification in Data Science or Machine learning using any cloud platform is considered an asset.
Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination.
Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.
How To Apply
If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.
https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&job=235338