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Operations Data Scientist

The role should enable the operations by discovering relevant insights from vast amounts of data and helping management make smarter decisions. Its primary focus shall involve leveraging current and other creative data sources, applying advanced statistical analysis and state-of-the-art machine learning, and building high-quality prediction systems to enable industry-leading performance.


  • Gather and analyze large volume, multi-dimensional data sets across the airline's Operations
  • Discover key predictors, unearth trends, and present actionable insights to the Operations management
  • Design and implement machine learning models to support business initiatives
  • Build advanced data visualizations and dashboards for relevant stakeholders
  • Autonomously manage projects from identifying areas of opportunities, collecting data, structuring analyses, generating insights, communicating findings, up to supporting stakeholders with execution                                                                                                                                                                                                                                        
  • Requires a Bachelor’s Degree in Engineering, Math, Statistics, Economics, Computer Science or any related field
  • Knowledge in one or more basic analysis tools: SQL, Python, R
  • Knowledge in one or more of the following programming languages: Python, JavaScript, R
  • Knowledge in one or more of the following data visualization tools: Tableau, PowerBI, Qlik
  • Familiarity with Hadoop and/or Spark environments a plus
  • Familiarity with Amazon Web Services and using platforms such as EC2, S3, Athena, and Glue a plus

Job Segment: Operations Manager, Scientific, Database, Engineer, Operations, Engineering, Technology

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