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Data Scientist III

Reasonable Accommodation Sabre Open · verified Oct 24, 2026
Dallas-Fort Worth Metroplex Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Reasonable Accommodation Sabre. Dallas-Fort Worth Metroplex · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.

Estimated pay

Reasonable Accommodation Sabre has not published a salary for this role. The figure below is our estimate, not theirs.

$115,300 – $175,500
What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.
Worked out from 425 postings that stated pay, median $145,000. Last updated Oct 24, 2026.
RoleData Science
SeniorityMid-level
LocationDallas-Fort Worth Metroplex
EmploymentFull-time
PostedSep 21, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn airline operational and customer data into predictions that support better customer behavior and business results
  • Build and tune forecasting and machine learning models, then demonstrate their value through benchmark tests
  • Gather information from multiple sources and create data-processing scripts using the listed programming languages
  • Work with software engineers to develop and test production forecasting and analytics code in C++ and Python
  • Track data quality and model performance, addressing issues and customer complaints through ongoing monitoring

What you bring

  • An advanced degree in a quantitative subject such as statistics, operations research or computer science
  • Strong Python and modern C++ skills, plus familiarity with R, SQL or another listed language or tool
  • Applied knowledge of statistical methods and machine learning, including techniques such as regression and clustering
  • Experience putting statistical or machine learning models into cloud environments using Amazon SageMaker or Amazon Forecast
  • A record of presenting visual analytics to clients and internal teams

Who this fits

This role suits someone who can combine applied modeling and programming with clear communication to airline experts and technical teams. The work is part of a global Operations Research team and focuses on airline operational and commercial challenges.

From the employer

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 recruiting@careers.sabre.com.


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



Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.