Data Science Engineer — Flexible Work & Travel Forecasting

Reasonable Accommodation Sabre

Texas

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive pay and performance-based
Flexible work options
Comprehensive healthcare coverage
Generous PTO and holidays
Strong retirement planning support
Family-friendly benefits
Professional development opportunities

Job summary

Sabre is a data-driven travel technology leader seeking a Data Science Engineer to join the global Operations Research team. The role focuses on translating complex business questions into robust statistical models, defining KPIs, and delivering predictive insights that influence product development and operations.

You will source data across diverse platforms, build high-quality scripts in Python and C++, and collaborate with software teams to deploy production-quality forecasting tools in

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 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 and software 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 with benchmark demonstrations.
  • Source data from multiple data sources and write high-quality data manipulation scripts in Python, R, and Bash.
  • Collaborate with software engineers to write, test production-quality C++ and Python code for forecasting and data analytics tools.
  • Establish monitoring processes to evaluate data accuracy and model performance, addressing improvements as needed.

Skills

Python
C++
R
SQL
PySpark
Perl
bash
Java
JavaScript

Education

Advanced degree in Statistics/Operations Research/CS/Math/ML

Tools

Amazon SageMaker
Amazon Forecast
SQL
PySpark
R

Job description

Sabre is a data-driven travel technology leader seeking a Data Science Engineer to join the global Operations Research team. The role focuses on translating complex business questions into robust statistical models, defining KPIs, and delivering predictive insights that influence product development and operations.

You will source data across diverse platforms, build high-quality scripts in Python and C++, and collaborate with software teams to deploy production-quality forecasting tools in

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