Optimization Specialist - Barcelona

Sita - Société Internationale De Télécommunications; Barcelona; Híbrido; EUR 80.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work up to 2 days/week

Flexible location up to 30 days remote

Flex Week

Professional development opportunities

Descripción de la vacante

Sita - Société Internationale De Télécommunications seeks a senior optimization engineer to design and implement disruption-recovery optimization engines for airline operations. You will own the end-to-end solver pipeline, translating airline rules into optimization models and validating solutions on real disruption cases.

You will collaborate with cross-functional teams to push new functionality, ensure solver performance, and contribute production-ready code in Python with SQL queries.

Formación

• Degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering or related quantitative field; MSc/PhD a plus.
• Strong foundation in mathematical optimization and OR.
• Hands-on experience with solvers (Gurobi, CPLEX, SCIP); production-ready coding in Python/SQL; version control with Git.

Responsabilidades

• Own disruption-recovery solver pipeline end-to-end, from formulation to production code.
• Translate airline rules (crew legality, aircraft routing, passenger reaccommodation) into solver formulations.
• Validate solver solutions against real disruption cases with Solutions Experts.
• Extend solver capabilities and ship new optimization functionality.
• Collaborate with Back-End and Data Engineering to integrate solver outputs into the live product.
• Build deep airline-operations domain knowledge and translate it into better formulations.

Conocimientos

Operations Research

Mathematical optimization

Linear programming

MILP

Network flows

Algorithm design

Cross-functional collaboration

Educación

Degree in Operations Research

Applied Mathematics

Computer Science

Industrial Engineering

MSc/PhD a plus

Herramientas

Gurobi

CPLEX

SCIP

Python

SQL

Git

Descripción del empleo

In this role you design and implement disruption-recovery optimization engines that convert manual airline replanning into fast, automated decisions. You will own the end-to-end solver pipeline, from mathematical formulation to production code, within the OCCam Science team. You’ll translate airline rules into optimization models, validate against real disruption cases, and push new functionality as the product evolves. This is an opportunity to shape AI-powered disruption management for global aviation and work across cross-functional teams to impact airline operations at scale.

• Flex Week: work from home up to 2 days/week
• Flex Day
• Flex-Location: up to 30 days a year remote
• Professional Development opportunities
• Own disruption-recovery solver pipeline end-to-end, from formulation to production code
• Translate airline rules (crew legality, aircraft routing, passenger reaccommodation) into solver formulations
• Validate solver solutions against real disruption cases with Solutions Experts
• Own solution-quality and runtime KPIs, balancing quality and solve time
• Extend solver capabilities and ship new optimization functionality
• Collaborate with Back-End and Data Engineering to integrate solver outputs into the live product
• Build deep airline-operations domain knowledge and translate it into better formulations
• Strong foundation in mathematical optimization and OR
• Hands-on experience with solvers (Gurobi, CPLEX, SCIP)
• Proficiency in Python and SQL; production-ready coding; Git
• Ability to translate complex business rules into algorithms
• Experience bridging OR theory and production code
• Self-directed with ability to ramp up domain knowledge independently
• Understanding of how formulation choices affect solver performance end-to-end
• Degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering or related quantitative field; MSc/PhD a plus
• Self-direction
• Detail-oriented
• Systems thinking
• Mathematical optimization (linear programming, MILP, network flows)