Data Scientist

Overview

This is a rare and exciting opportunity at Etihad to harness the power of data science to drive operational transformation—enabling smarter decisions, greater efficiency, and an elevated guest experience.

As a Data Scientist, your primary responsibility is to utilize data to improve various aspects of the airline's operations. Apply advanced statistical and machine learning techniques to develop AI-driven solutions aimed at enhancing efficiency and customer experiences. Analyze data, predict trends, and optimize processes across different operational areas, contributing to incremental improvements in the airline's performance and competitiveness.

• Data Analysis and Modelling: Conduct in-depth analysis of large and complex datasets to extract meaningful insights and identify actionable opportunities for improvement.
• Algorithm Development
  :
  Design, develop, and deploy cutting-edge predictive models and algorithms that address key challenges and opportunities within the aviation industry.
• Optimization and Automation
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  Continuously refine and optimize machine learning models to improve accuracy, efficiency, and scalability, while also exploring opportunities for automation to streamline processes and reduce manual effort.
• Collaboration and Innovation
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  Collaborate closely with cross-functional teams including software engineers, aviation experts, and business stakeholders to co-create innovative solutions that address real-world challenges and deliver tangible business value.
• Research and Development
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  Stay abreast of the latest advancements in data science, AI, and aviation technology, and proactively explore emerging trends and methodologies to drive continuous innovation and improvement.
• Communication and Stakeholder Engagement
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  Effectively communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear, compelling presentations and reports, and actively engage with stakeholders to gather feedback and ensure alignment with business objectives.

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Data Science, Aviation Engineering, or a related field.
• 5-7 years’ experience working as a Data Scientist or similar role, preferably in aviation or a related field.
• Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
• Strong understanding of machine learning techniques and algorithms such as regression, classification, clustering, neural networks, etc., with experience applying to real-world problems.
• Strong foundation of operational research (linear programming, resource allocation, network optimization, etc.) to solve complex business and operational problems.
• Proficiency in SQL, any of the Cloud Service Providers (GCP, AWS, Azure), ideally with Databricks
• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.
• Knowledge of aviation operations and industry-specific challenges and opportunities is desirable.
• Excellent problem-solving skills, attention to detail, and the ability to work effectively both independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with colleagues across various disciplines and levels of the organization.