OPERATIONS RESEARCH SCIENTIST – Revenue Management

Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology, we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel. 

Positioned at the center of the travel, we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps, online travel sites, airline and hotel reservation networks, travel agent terminals, and scores of other solutions.

Simply put, we connect people with moments that matter.

OPERATIONS RESEARCH SCIENTIST – Revenue Management 

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 opportunities 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 mathematical and statistical modeling and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry. 

The Operations Research Scientist 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 analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from a variety of data sources, write high-quality data manipulation scripts in primarily Python, Pyspark, C++, SQL, and/or R, develop and apply data mining and machine learning algorithms for advanced analysis, prediction and prescriptive models. 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. 

Responsibilities 

• Work with subject matter experts with airline industry experience to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance. 

• Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. 

• Evaluate merits of different optimization algorithms or heuristic solutions against each other 

• Develop custom data models and algorithms to apply to data sets and run proof of concept studies. 

• Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. 

• Develop own production quality code and/or collaborate with software engineers to implement and test production quality code for traditional OR