Principal Data Science Engineer

🕒 May 22

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Sabre Corporation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1960

Software • Travel

Sabre Corporation is a leading software and technology provider that powers the global travel industry. The company partners with airlines, hoteliers, travel agencies, and travel suppliers to provide seamless retailing, distribution, and fulfillment of travel services. With a focus on innovation, Sabre delivers advanced technology solutions, including AI-driven analytics and real-time data processing, to optimize pricing, inventory management, and network planning. The company's strategic partnerships, such as with Google, position it at the forefront of travel technology innovation, enabling digital transformation and enhancing customer travel experiences worldwide.

📋 Description

• Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance. • Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. • Develop custom data models and algorithms to apply to data sets and run proof of concept studies. • Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. • Collaborate with software engineers to implement and test production quality code for AI/ML models. • Develop processes and tools to monitor and analyze data accuracy and models’ performance. • Demonstrate software to customers and perform value proving benchmarks. • Calibrate software for customer needs and train customer for using and maintaining software. • Resolve customer complaints with software and respond to suggestions for enhancements.

🎯 Requirements

• Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning. • Proven ability to apply modeling and analytical skills to real-world problems. • Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.). • Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++. • Experience with deployment of machine learning and statistical models on a cloud: MLOps experience within the enterprise CI/CD process to implement Sabre CI/CD for ML models • Experience deploying ML APIs in production environments in GCP using GKE Kubernetes Service • Experience in using GCP Vertex AI for ML and BigQuery for Datawarehouse • Knowledge in Terraform and Containers technologies • Experience writing data processing jobs using GCP Dataflow and Dataproc • Experience setting up ML model monitoring and autoscaling for ML prediction jobs • Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry.

🏖️ Benefits

• Flexible work arrangements