• Advanced degree (MS or PhD) in a quantitative field including but not limited to statistics, computer science/data mining, operations research, or mathematics
  • Deep understanding of fraud/anomaly detection algorithms
  • Experience in working with web logs and clickstream data
  • Excellent interpersonal and communication skills to present analytics effectively to the leadership, team members and customers
  • Experience in computational programming such as R/Python/Scala in a cloud environment
  • Experience in using databases and writing complex queries involving various joins, aggregation functions, sub queries, update/alter tables and creating volatile tables
  • Experience in applying statistical and machine learning techniques to real-world problems

Desired Qualifications

  • 4+ years of experience in a technical professional environment
  • Experience in building cybersecurity fraud detection algorithms
  • Familiarity with visualization software such as Tableau, Qlik or Zoomdata
  • Knowledge of using the big data environment/parallel processing to scale the models
  • Familiarity with the airline/travel industry
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