Intermediate Operations Research

at  CAE

Saint-Laurent, QC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate05 Sep, 2024Not Specified05 Jun, 2024N/AInformation Systems,Cae,Conferences,Industrial Engineering,Computer Science,Cplex,AdditionNoNo
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Description:

OUR IDEAL CANDIDATE HAS:

  • Bachelor’s (with Honours) or higher in Operations Research, Computer Science, or other related field.
  • Understanding of airline processes specific to either Crew Planning or Disruption Management.
  • Previous experience with optimization engines in an airline context.
  • Python scripting ability.

IN ADDITION, THE FOLLOWING EXPERIENCE IS NICE TO HAVE:

  • Master’s / PhD in Operations Research, Computer Science, Industrial Engineering, Management Information Systems, or a similar field
  • Knowledge of large-scale integer programming software such as Gurobi or CPLEX (or equivalent)

CAE offers:

  • an environment where your initiatives will be recognized and valued.
  • the opportunity to travel internationally.
  • the opportunity to work on a variety of projects on a multidisciplinary team.
  • the opportunity to represent the organization at external conventions and conferences.
  • the possibility to work from home occasionally.
  • flexible schedules.
  • attractive employee benefits.

Responsibilities:

ABOUT THIS ROLE

Are you looking for a work environment where you can innovate, reach greater heights and collaborate with experts from a wide range of sectors? Do you want to join a world-class company and industry leader with projects to which you would be proud to contribute? Share your passion with us!

THE ROLE WE ARE OFFERING YOU:

By joining our operations research team, you will have the opportunity to implement optimization engines within the context of flight operations.

Are you ready to:

  • Interpret business requirements and convert them into parameters understandable by a mathematical engine.
  • Walk through airline processes and how an optimization engine will fit into their overall picture.
  • Set up reports to explain cause and effect to customers in the context of the parameter changes requested.
  • Write Python scripts to help collate data and draw insights on optimization.
  • Explain the output of optimization engines in a way that highlights cause and effect.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Phd

Proficient

1

Saint-Laurent, QC, Canada