Senior Data Scientist — Flight Operations & Optimization

Qatar Airways; Doha; On-site; QAR 300,000 - 480,000; Full time

Job summary

Qatar Airways is seeking a Senior Data Science Analyst for the Flight Operations - Operational Strategy & Innovation team in Doha. You will apply advanced analytics, including ML and optimization, to boost efficiency across Flight Operations and CAMO, delivering actionable insights to senior management and stakeholders.

Requirements include a strong math/statistics/data science foundation, 5+ years in analytics, proficiency in Python/R/SQL, and hands-on with ML frameworks.

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.

Responsibilities

• 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.

Skills

Python

R

SQL

Machine Learning

Optimization

Statistics

Data Visualization

Communication

Education

Bachelor's degree in Mathematics/Statistics/Data Science

Tools

Gemini Enterprise Platform

TensorFlow

PyTorch

Keras

Cplex

Gurobi

Google OR-Tools

Qlik

Power BI

Tableau

Skywise

Job description

Qatar Airways is seeking a Senior Data Science Analyst for the Flight Operations - Operational Strategy & Innovation team in Doha. You will apply advanced analytics, including ML and optimization, to boost efficiency across Flight Operations and CAMO, delivering actionable insights to senior management and stakeholders.

Requirements include a strong math/statistics/data science foundation, 5+ years in analytics, proficiency in Python/R/SQL, and hands-on with ML frameworks.