Senior Data Science Analyst
Qatar Airways is hiring a Senior Data Science Analyst in Doha, Qatar. Level rates it ; you can apply on Level.
AI in this role
Develop and deploy machine learning models and optimization solutions for flight operations strategy.
Description
About the role:
Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations - Operational Strategy & Innovation team as a Senior Data Science Analyst to be based in Doha, Qatar.
As a 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.
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.
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.
About Qatar Airways Group
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. 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.
How we rate this
Senior Data Science Analyst at Qatar Airways rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where optimization was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Walk me through how you've used Gemini in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine learning, Optimization, Predictive Modeling, Data Analysis, and Gemini. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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