Leveraging statistical methods and data science tools like R/Python to solve problem statements in the network planning domain of airlines. Quality delivery from your independent contribution for projects for multiple airlines throughout the year. Handling customer projects and their delivery independently. Lead and support other team members through constant collaboration and continuous innovations. Automate everything that we d repeatedly, often using heterogeneous tools. Work with Product Owners and external teams to continuously raise the quality bar of our products. Whats in it for you Working with network planning teams of many airlines around the globe and opportunity to solve the challenging network problems. The sky is the limit when it comes to what you can do. Opportunity to do something that has high impact and game changing in our industry Be part of one of the world s largest Travel and Hospitality technology company Qualifications and Education Requirements Masters degree (Preferably M.Sc. (Quantitative Subjects), M.B.A., M.E., M.Tech.) with minimum 2 years of relevant experience (or) Bachelors degree holders (Preferably B.E., B.Tech) with minimum 3 years of relevant experience. Must Have Skills: Ability to understand complex business requirements and define KPIs to measure benefits and communicate complex quantitative analysis in a clear, precise, and actionable manner. Solid programming skills (expertise in any statistical tools like SQL / SAS / R / Python / other tools) Experience with applying complex business logics to extract and cleanse large datasets from different data sources (xml, txt, xls, sql, etc) Skills in Microsoft Tools (Preferably Excel and Power point) Excellent communication skills, strong problem solving and analytical skills Excellent Customer Management Skills and Ability to handle multiple projects Nice To Have Skills: 2-3 years of experience in airline industry. Bachelor s degree in Computer Science or Computer Engineering Solid hands-on experience with framework development and ability to achieve end-to-end automation of workflows
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