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Job Title:  Senior Data Scientist

Location: 

Bangalore, Karnataka, IN

Remote Options (if applicable): 

Req ID: 60194

Job Family: Information Technology/Software Development

 

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! 

Job Description

Job Description:
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! 


Job Description:

•    4+ years of hands-on experience in the field of Data Science and Machine Learning
•    Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent quantitative disciplines
•    Strong knowledge and underlying mathematical foundations of statistics and machine learning
•    Good experience on successfully executing machine learning projects simultaneously
•    Understand business and Know various products. In-depth understanding of airline domain.
•    Work with product team, engineering team and other stakeholders to identify opportunities for leveraging existing airline data to drive business solutions.
•    Good Experience in AI/ML business solution story telling and creating the business value
•    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.
•    Good experience with machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch
•    Experience in architecture of machine learning systems and production deployments
•    Deep experience in one or more of the areas of natural language processing, recommender systems, and deep learning
•    Incorporate new AI/ML technologies, DS approach and best practices into the sabre products
•    Good to have Exposure to ML Ops, ML Pipeline, Monitoring and alerting of ML applications
•    Familiarity with standard SDLC process and test-driven development, CI/CD, git, shell scripting, task orchestration and preferably GCP tooling (Vertex.AI, BigQuery etc.)
•    Experience in building and deploying machine learning models to different Cloud platforms (Google Cloud Vertex AI, AWS etc)
•    Experience in solving business problems using Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)
•    Experience/Knowledge of Business Analytical tools is pluc
•    Excellent communication skills
•    Ability to collaborate cross-functionally
•    Good presentation skills
•    Ability give attention to details
 

Job Requirements

EDUCATION: Please contact your Human Resources Representative. EXPERIENCE: Minimum 5 years related experience. Excellent written and verbal communication skills; ability to handle multiple projects simultaneously.

 

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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