Senior Data Science Analyst

General Information

Qatar-Doha

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.
• As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO).
• You will leverage a broad toolkit; including machine learning, optimization techniques, root cause analysis, and rapid prototyping of decision‑support tools to transform data into actionable insights.
• Working closely with cross‑functional teams, you will deliver high‑impact analyses and provide clear, strategic recommendations to Senior Management and key 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 Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.
• Be part of an extraordinary story
• Your skills.
• Your imagination.
• Your ambition.
• Here, there are no boundaries to your potential and the impact you can make.
• You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience.
• 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.
• Any certification in Data Science or Machine learning using any cloud platform is considered as an added advantage.
• Excellent presentation skills and data visualization.
• Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.
• Hands-on experience with GCP Vertex AI 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 as an added advantage.
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of Partners, Senior Managers, and Subject Matter Experts.

About Qatar Airways Group

How to apply