Senior Data Scientist – Airline Analytics & ML

Sabre Corporation; Fort Worth, Northern (TX, KY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive pay

Flexible work options

Healthcare coverage

PTO and holidays

Retirement planning support

Professional development opportunities

Job summary

Sabre Corporation is seeking a Data Scientist III to join its global Operations Research team. You will translate business questions into statistical models, develop forecasting algorithms, and collaborate with software engineers to deploy production quality analytics.

You will work with Python, C++, and ML techniques in cloud environments like SageMaker, contributing to revenue optimization and traveler experience improvements across travel channels.

Qualifications

• Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or related quantitative discipline.
• Proven ability to apply advanced statistical concepts and ML techniques to real-world problems.
• Experience deploying statistical and ML models in cloud environments.

Responsibilities

• Partner with airline subject matter experts to turn operational and consumer data into actionable predictions.
• Develop, test, and calibrate custom data models, forecasting techniques, and ML algorithms.
• Collaborate with software engineers to write production-quality C++ and Python code for forecasting and analytics tools.
• Establish monitoring processes to evaluate data accuracy and model performance.

Skills

Python

C++

R

SQL

PySpark

Perl

bash

Java

JavaScript

Statistics

Machine Learning

Education

Advanced degree in Statistics/OR/CS/Math/ML

Tools

Amazon SageMaker

Amazon Forecast

Job description

Sabre Corporation is seeking a Data Scientist III to join its global Operations Research team. You will translate business questions into statistical models, develop forecasting algorithms, and collaborate with software engineers to deploy production quality analytics.

You will work with Python, C++, and ML techniques in cloud environments like SageMaker, contributing to revenue optimization and traveler experience improvements across travel channels.