Data Scientist III

Sabre; Dallas (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive pay

Flexible work options

Healthcare coverage

Generous PTO and holidays

Retirement planning

Family-friendly benefits

Professional development opportunities

Job summary

Sabre Corporation, headquartered in Southlake, Texas, is a leading technology provider to the global travel and tourism industry. We operate in ~60 countries and are building a marketplace for personalized travel. Our people develop powerful solutions for airline, hotel and travel agency customers.

Join our journey! As a Data Science Engineer in our Operations Research team, you translate complex business questions into robust statistical models, define KPIs, and communicate results to internal

Qualifications

• Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or a related quantitative discipline.
• Advanced programming skills in Python and modern C++, alongside proficiency in R, SQL, PySpark, Perl, bash, Java, or JavaScript.
• Proven ability to apply advanced statistical concepts and machine learning techniques to real-world problems.
• Experience deploying statistical and machine learning models in cloud environments using services like Amazon SageMaker and Amazon Forecast.
• Strong communication skills with demonstrated experience presenting graphical analytics to clients, sales, and software engineering teams.

Responsibilities

• Partner with airline subject matter experts to turn operational and consumer data into actionable predictions that optimize customer behavior and business performance.
• Develop, test, and calibrate custom data models, forecasting techniques, and machine learning algorithms, performing proof-of-concept studies and proving value through benchmark demonstrations.
• Source data from multiple data sources and write high-quality data manipulation scripts in R, Python, Perl, and bash.
• Collaborate with software engineers to write, implement, and test production-quality C++ and Python code for forecasting and data analytics tools.
• Establish monitoring processes and tools to continuously evaluate data accuracy, assess model performance, and resolve software improvements or customer complaints.

Skills

Python

C++

R

SQL

PySpark

Perl

bash

Java

JavaScript

Education

Advanced degree in Statistics/Operations Research/CS/Mathematics/Machine Learning

Tools

Amazon SageMaker

Amazon Forecast

Job description

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!

Data Science Engineer

We are seeking a Data Science Engineer to join our global Operations Research team, where innovation knows no borders. This team applies advanced statistical analysis, data modeling, and predictive analytics to solve complex strategic and operational challenges in the airline industry. It helps airlines optimize revenue performance, advance retailing and distribution through Offer/Order Management and Continuous Dynamic Pricing, and elevate the traveler experience. With an inclusive culture and flexible work environment, we work together with boldness, curiosity and commitment so we can all win together.

As a Data Science Engineer, you will translate complex business questions into robust statistical models, define critical KPIs, and communicate empirical results to internal and external decision makers. You will source data across diverse platforms, build high-quality data manipulation scripts, and apply machine learning algorithms to drive predictive insights and product development cycles. This role requires expert analytical capability, proactive collaboration with software development teams, and the drive to deliver measurable business outcomes.

What you'll do

• Partner with airline subject matter experts to turn operational and consumer data into actionable predictions that optimize customer behavior and business performance.

• Develop, test, and calibrate custom data models, forecasting techniques, and machine learning algorithms, performing proof-of-concept studies and proving value through benchmark demonstrations.

• Sourced data from multiple data sources and write high-quality data manipulation scripts in R, Python, Perl, and bash.

• Collaborate with software engineers to write, implement, and test production-quality C++ and Python code for forecasting and data analytics tools.

• Establish monitoring processes and tools to continuously evaluate data accuracy, assess model performance, and resolve software improvements or customer complaints.

What you'll bring

Required qualifications

• Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or a related quantitative discipline.

• Advanced programming skills in Python and modern C++, alongside proficiency in R, SQL, PySpark, Perl, bash, Java, or JavaScript.

• Proven ability to apply advanced statistical concepts (regression, distributions, hypothesis testing) and machine learning techniques (clustering, decision trees, neural networks) to real-world problems.

• Experience deploying statistical and machine learning models in cloud environments using services like Amazon SageMaker and Amazon Forecast.

• Strong communication skills with demonstrated experience presenting graphical analytics to clients, sales, and software engineering teams.

Preferred qualifications

• Industry experience or domain knowledge in airline, hospitality, or retailing decision support systems.

• Hands-on experience developing customer choice models, price elasticity estimations, and market potential estimations.

• Practical understanding of airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts.

Benefits that support you

We know support looks different for everyone. That is why Sabre offers benefits beyond medical and financial coverage, with programs designed to support your well-being, growth and life outside work:

• Competitive pay and performance-based bonuses

• Flexible work options

• Comprehensive healthcare coverage

• Generous PTO and holidays

• Strong retirement planning support

• Family-friendly benefits

• Professional development opportunities

Reasonable AccommodationSabre 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 [e-mail]

Affirmative ActionSabre 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 LAWStay connected with Sabre Careers