Sr Data Scientist

Posted 2 Days Ago
Fort Worth, TX, USA
Hybrid
Senior level
Information Technology • Software • Travel
The Role
Develop statistical models, forecasting methods, and machine learning algorithms for airline optimization and travel retailing. Source and manipulate data using multiple programming languages, deploy models in cloud environments, and collaborate with software engineers on production analytics tools. Define KPIs, monitor data and model performance, conduct proof-of-concept studies, and communicate insights to clients and internal stakeholders.
Summary Generated by Built In

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.

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 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 at [email protected].


Determinations on requests for reasonable accommodation will be made on a case-by-case basis.


Equal Employment Opportunity
Sabre is an equal employment opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals. EEO IS THE LAW


#LI-Hybrid#LI-DA1

Skills Required

  • Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or a related quantitative discipline
  • Advanced programming skills in Python and modern C++
  • Proficiency in R, SQL, PySpark, Perl, bash, Java, or JavaScript
  • Experience applying advanced statistical concepts, including regression, distributions, and hypothesis testing
  • Experience applying machine learning techniques, including clustering, decision trees, and neural networks
  • Experience deploying statistical and machine learning models in cloud environments using services such as Amazon SageMaker and Amazon Forecast
  • Strong communication skills and experience presenting graphical analytics to clients, sales, and software engineering teams
  • Industry experience or domain knowledge in airline, hospitality, or retailing decision support systems
  • Experience developing customer choice models, price elasticity estimations, and market potential estimations
  • Understanding of airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts

Sabre Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sabre Corporation and has not been reviewed or approved by Sabre Corporation.

  • Leave & Time Off Breadth Time off is expansive, with five weeks of PTO from day one, eight paid holidays, floating holidays, and a companywide year‑end break. Paid volunteer time further broadens available leave.
  • Parental & Family Support Parental leave provides 12 weeks fully paid for birth or adoption, complemented by generous bereavement leave up to 15 paid days. Disability coverage and dependent eligibility to age 26 reinforce family support.
  • Retirement Support A 401(k) with a strong company match underpins long‑term savings. This foundation strengthens overall financial security alongside core benefits.

Sabre Corporation Insights

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The Company
HQ: Southlake, TX
8,150 Employees

What We Do

We are a software and technology company that powers the global travel industry. With decades of revolutionary firsts, our team of experts drive innovation and ingenuity in the industry. Today, we are creating a new marketplace for personalized travel. We partner with airlines, hoteliers, agencies and other travel partners to retail, distribute and fulfill travel. We are committed to helping customers operate more efficiently, drive revenue and offer personalized traveler experiences with next-generation technology solutions. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Sabre's technology powers the nearly US$8 trillion travel industry. Our technology and data-driven solutions help our airline, hotel, travel agency and corporate customers grow their businesses and transform the traveler experience. The scale, breadth and depth of our technology is unmatched and sustains a complex industry. We provide an open and stable platform to deliver flexible, reliable and scalable solutions. Over the years, we have shaped and modernized the travel industry. We pioneered online travel agencies, corporate booking tools, revenue management, and web and mobile itinerary tools, to name a few. Our travel marketplace transacts more than US$120 billion of travel spend per year. And we are the world’s largest provider of airline and hotel technology. We have been named to the InformationWeek 500 list of the most innovative technology companies for 11 consecutive years. And InformationWeek named Sabre seventh on its list of the “Greatest Software Ever Written.”

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