Job Description

Job Family: Data Science

Sabre Corporation is a leading technology provider to the global travel and tourism industry. Headquartered in Southlake, Texas, USA, Sabre operates offices in approximately 60 countries around the world. At Sabre, we make travel happen. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Today, Sabre is creating a new marketplace for personalized travel. It is our people who develop and deliver powerful solutions that meet the current and future needs or our airline, hotel and travel agency customers. Join our journey!

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Sabre Corporation is a leading technology provider to the global travel and tourism industry. Headquartered in Southlake, Texas, USA, Sabre operates offices in approximately 60 countries around the world. At Sabre, we make travel happen. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Today, Sabre is creating a new marketplace for personalized travel. It is our people who develop and deliver powerful solutions that meet the current and future needs or our airline, hotel and travel agency customers. Join our journey!

Principal Data Scientist Architect

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?a,A 10+ years of hands-on experience in the field of Data Science and Machine Learning with Exposure to architecture and design of DS solutions

?a,A Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent quantitative disciplines

?a,A Strong knowledge and underlying mathematical foundations of statistics and machine learning

?a,A 4+ years of experience leading multiple machine learning projects simultaneously

?a,A Designing and developing enterprise data science solutions on GCP cloud platform with native or third-party data technologies.

?a,A Good working experience with relational databases and NoSQL databases including but not limited to Oracle, Spanner, BigQuery etc.

?a,A Expert level SQL skills for data manipulation, data validation and data manipulation

?a,A Experience in design and development of data modeling, data design, data warehouses, data lakes and analytics platforms on GCP for the data science projects

?a,A Experience in designing ETL data pipelines and data processing architectures for Datawarehouse

?a,A Understanding and experience in Pub/Sub, Kafka, Kubernetes, GCP, AWS, Hive, Docker

?a,A Expertise in ML Ops, ML Pipeline, Monitoring and alerting of ML applications

?a,A Understand business and Know various products. In-depth understanding of airline domain.

?a,A Work with product team, engineering team and other stakeholders to identify opportunities for leveraging existing airline data to drive business solutions.

aa,A Good Experience in AI/ML business solution story telling and creating the business value

aa,A Strong hands-on experience DS languages and tools and frameworks as listed below:

o Python and SQL, R, scikit-learn, TensorFlow, PyTorch, Spark, Scala etc.

aa,A Good experience with machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch

aa,A Experience in architecture of machine learning systems and production deployments

aa,A Deep experience in one or more of the areas of natural language processing, recommender systems, and deep learning

aa,A Incorporate new AI/ML technologies, DS approach and best practices into the sabre products

aa,A Familiarity with standard SDLC process and familiarity with object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration and preferably GCP tooling (Vertex.AI, BigQuery etc.)

aa,A Experience in building and deploying machine learning models to different Cloud platforms (Google Cloud, AWS)

aa,A Experience leading and mentoring a team of data scientists and data engineers

aa,A Experience in solving business problems using Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)

aa,A Experience/Knowledge of Business Analytical tools is plus

aa,A Good to have exposure to ML Ops pipelines and GCP

aa,A Excellent communication skills

aa,A Ability to collaborate cross-functionally

aa,A Good presentation skills

aa,A Ability give attention to detail

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.

Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process. Join our life community at Sabre by following us on Twitter, Facebook and LinkedIn.

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