Summary
Qatar Airways is recruiting a Senior Data Science Analyst for its Flight Operations - Operational Strategy & Innovation team in Doha. The role develops and deploys machine learning and optimization models, conducts complex analyses, and prototypes decision-support tools for Flight Operations and Technical Operations (CAMO). The analyst will provide operational insights and data-driven recommendations, with a focus on on-time performance, flight schedules, predictive maintenance, and operational costs. The posting calls for expertise in data science, statistics, machine learning, and optimization; experience with Databricks and the Gemini Enterprise Agent Platform is relevant, while Skywise familiarity is a plus.
The posting
As published on qatarairways.com. Pulled from the employer's site and shown as they wrote it.
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.
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