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Sabre Corporation is a leading technology provider to the global travel and tourism industry. Headquartered in Southlake, Texas, USA, Sabre operates offices in approximately 60 countries around the world. At Sabre, we make travel happen. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Today, Sabre is creating a new marketplace for personalized travel. It is our people who develop and deliver powerful solutions that meet the current and future needs or our airline, hotel and travel agency customers. Join our journey!

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 or AI/ML models.

Develop processes and tools to monitor and analyze data accuracy and models’ performance.

Demonstrate models/algorithms/software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software.

Resolve customer complaints with software and respond to suggestions for enhancements.

Required Qualifications

Advanced degree in Statistics, Operations Research, Mathematics, Applied Math, or Data Science or in a field such as Engineering, Computer Science, Economics or Business that leverages such scientific methods.

Proven ability to apply modeling and analytical skills to real-world problems.

Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).

Solid programming skills 2-3 languages out of Python, PySpark, SQL, TensorFlow, C++, R, or Java.

Absolutely must have: Graduate school degree in one of the above programs and knowledge of Revenue Management models and algorithms.

Desirable Qualifications

Experience with deployment of machine learning and statistical models on a cloud is preferred:

1.MLOps within the enterprise CI/CD process for ML models

2.Experience deploying ML APIs in production environments in GCP using GKE

3.Experience in using GCP Vertex AI for ML and BigQuery

4.Knowledge in Terraform and Containers technologies

5.Experience writing data processing jobs using GCP Dataflow and Dataproc

6.Experience setting up ML model monitoring and autoscaling for ML prediction jobs

7.Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub

Familiarity with airline, hospitality, retailing, more specifically perishable product retailing and decision support systems.

Experience developing customer choice models, price elasticity estimation and market potential estimation.

Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.

Reasonable Accommodation

Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre's Compliance Office at [email protected]

Affirmative Action

Sabre is an equal employment opportunity/affirmative action employer and is committed to providing equal employment opportunities to minorities, females, veterans, and disabled individuals. EEO IS THE LAW

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