Senior Operations Research Engineer
Sabre
Krakow, Malopolska Province, PL
5 d. temu

Job Family :

Research and 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

Airline industry employs very complex planning and operations processes. Airlines operate on very thin margins and require multiple resources such as schedule, crew, maintenance and airport equipment to be optimally managed, so that profitability is maximized all safety and operational regulations are satisfied.

To achieve these objectives airlines employ sophisticated operations research techniques leveraging powerful computational capabilities of modern hardware.

The Operations Research Engineer applies expert level simulation and optimization methodologies to solve strategic and operational problems in airline industry.

As a key member of the Sabre Operations Research team, you will leverage your operations research and business expertise to translate business questions into mathematical models, develop algorithms to solve them, define suitable KPIs, and present results to a wide range of audiences including internal and external clients, sales, and development team.

In addition, you will engineer optimization software in C++, Java or Python, leverage commercial solvers like CPLEX or Gurobi and work on its continuous performance improvement and business enhancements.

You will also utilize your strong communication skills to work with developers to support product development cycles.

Responsibilities

  • Work with subject matter experts from airlines to identify opportunities for leveraging simulation and optimization algorithms to improve decision support.
  • Develop custom optimization algorithms and run proof of concept studies.
  • Leverage existing optimization and simulation tools to enhance in-house algorithms.
  • Collaborate with software engineers to implement and test production quality code for simulation and optimization models.
  • Develop processes and tools to monitor optimization models’ performance.
  • Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software.
  • Resolve customer complaints with software and respond to suggestions for improvements and enhancements.
  • Job Requirements

    Required Qualifications

  • Advanced Degree in Operations Research, Computer Science, Mathematics or related Quantitative disciplines.
  • Proven ability to apply modeling and analytical skills to real-world problems.
  • Proficiency in optimization solvers (CPLEX, Gurobi) for LP / IP
  • Proficiency with solving large-scale optimization using decomposition algorithms and other advanced OR techniques for linear and non-linear optimization
  • Advanced knowledge of C++, Java and Python and associated development tools.
  • Software development experience with proven record of developing complex algorithm.
  • Desirable Qualifications

  • Familiarity with airline, rail or supply-chain industries and decision support systems employed there.
  • Experience developing network optimization, resource planning and task scheduling models.
  • Understanding of airline scheduling, crew planning, airport operations and disruption management concepts.
  • We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as we progress your application.

    Please note that only candidates who meet the minimum requirements will proceed in the selection process.

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