Lead Data Science Officer (Cargo) – Qatar Airways , Qatar

You will perform analysis on reporting, trends, data quality and decision support system outcomes to improve department forecasting techniques where improved forecasting result in better decision making and revenue results. You will make strategic recommendation on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices. You will evaluate and problem solve through data analysis using combined knowledge of modelling, statistics and analytics by working closely with colleagues. You will compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.

We are looking for a passionate, high energy individual who has experience of developing models using statistical techniques, and excellent knowledge of using data analytical software’s. Experience working as a Data Scientist within the airline cargo/air freight / logistics industry would be ideal.

To be successful in this role you will need to be minimum Bachelor’s Degree qualified in related disciplines such as Economics, Mathematics and Statistics, Computer Science or Engineering, with at least 4 years of job related experience within the airline logistics industry.
You will need to have an expert understanding of statistics, operations research, and forecasting and optimization methods.
Experience using tools such as SQL, R, Python, Scala, SAS, SPSS, machine learning, and data visualization tools like Tableau, Power BI, QlikView.
Experience using cloud platforms such as AWS, and Azure.
This role demands a high level of energy and intelligence. In addition, you must have an outstanding communication and presentation skills.

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