Airline Data Scientist with Statistical Analysis Expertise

2 tygodni temu

Kraków, Lesser Poland Sabre Pełny etat
Job Description

Sabre, a technology company powering the global travel industry, seeks an experienced Airline Data Scientist to join their Operations Research team. This role will leverage statistical analysis, data modeling, and predictive analysis to drive strategic and operational improvements in the airline industry.

Key Responsibilities:
  • Collaborate with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable predictions 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 datasets and run proof-of-concept studies.
  • Leverage existing statistical and machine learning tools to enhance in-house algorithms.
  • Work with software engineers to implement and test production-quality code for forecasting and data analytics models.
  • Develop processes and tools to monitor and analyze data accuracy and model performance.
Requirements:
  • Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or related quantitative disciplines.
  • Proven ability to apply modeling and analytical skills to real-world problems.
  • Familiarity with airline, hospitality, or retailing industries and decision support systems employed there.
  • Experience developing customer choice and recommendation models.
  • Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, statistical tests, and proper usage.
Benefits:
  • A competitive salary of approximately $120,000 per year, based on industry standards and location.
  • Opportunities for professional growth and development within a dynamic and innovative company.
  • Access to cutting-edge technology and resources to drive innovation and improvement.
  • A collaborative and inclusive work environment that values diversity and employee well-being.

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