In this role,
you will apply knowledge of the business and the evolving discipline of data science to define the future of RM with solutions going beyond traditional O&D optimization and towards personalization, dynamic pricing and offer/order management. Furthermore you will ensure that a robust technical data risk management regime is developed and maintained. You will also be responsible to design and build analytics methodologies, solutions, and products to deliver value to the business based on a broad and complex set of business and customer data. As a team leader you drive the data science time team to deliver a regular rhythm of solutions, to test and learn, and develop solutions with a mindset that failure, if recovered quickly, can provide meaningful direction for improvement. You will develop measurement method, based on results, to determine the efficacy of both machine solutions and analyst interventions to continually improve results.
We are looking for a passionate, high energy individual who has excellent understanding of airline economics, as well as sales and distribution knowledge. Experience working as a Data Science Manager within the Revenue Management department of an airline would be ideal. You should have experience leading and managing a team of Data Science experts, be able to make recommendations on data infrastructure and database relationships. Use programming skills (e.g. SQL, Python, R) during analysis, model design and deployment. You should have the ability to delegate work, set clear directions and manage workflows. Strong mentoring and coaching skills are also essential.
To be successful in this role you will need to be minimum Bachelor’s Degree qualified in related disciplines, with at least 8 years of job related experience within the airline industry. You will need to have an expert understanding of statistics, operations research, and forecasting and optimization methods. You should also have an expert level understanding of IT related topics, and good understanding of airlines business process.
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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