Operations Research Scientist Trainee

About Your Business Area/Department:

Solve some of the most challenging problems in scheduling and planning for airlines. Build profitable and robust schedules with Amadeus Sky suite, the only solution in the market that can optimize frequency plans automatically, build airline schedules from scratch, simulate the entire network, and many more unique capabilities to unlock your airline's revenue potential.

Summary of the role:

Solve the reduction of airline schedule efficiently. Airlines often cancels the flights and deciding what flight to cancel while other decisions such as fleet assignment and timing optimization is pending is hard. The objective is to solve reduction, retiming, re-fleeting together with the ability to constantly evaluate the reduction decisions.

In this role you'll:

• Daily: Discuss ideas, document and implement in rapid prototyping mode.
• Weekly: Share updates and make presentations for customers (Internal/external)
• Customer facing: Discuss requirements (on-site vs remote) and present PoC results.

About the ideal candidate:

• MS. Or PhD. in Operations Research/Computer Science
• 3 years of experience in mathematical programming or meta heuristics
• 3 years working in airline industry or any industry solving network flow optimization problems.
  

What we can offer you:

• Competitive pay
• Work onsite/hybrid
• Professional development to broaden yourknowledge and enhance your skillswith on-line learning hubs packed with technical and soft skills training that allow you to develop and grow.
• Enter a diverse and inclusive workplace, join one of the world's top travel technology companies and take on a role that impacts millions of travelers around the globe.

Application process:

Create your candidate profile, upload your Resume/CV and apply today!

Diversity & Inclusion

Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.