PRINCIPAL DATA SCIENCE ENGINEER
Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand oppor-tunities for engaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry.
The Data Science Engineer applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline industry. As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analy-sis and models, define suitable KPIs, and graphically present results to a wide range of audiences including in-ternal and external clients, sales, and development team. In addition, you will source data from multiple dif-ferent data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and ap-ply data mining and machine learning algorithms for advanced analysis and prediction. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth.
Why is it worth working with us?
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as we progress your application. Please note that only candidates who meet the minimum requirements will proceed in the selection process. To learn more about the people and culture at Sabre, follow us on Twitter, Facebook and LinkedIn