Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

THE ROLE :

Within the Data Science team and in cooperation with other departments of the group, your mission will be to develop optimization solutions to address complex business problems. You will work on the design, the analyze and the experimentation of operations research techniques to support tactical and strategic decision.

RESPONSIBILITIES :

As part of the Decision Science team, you will

• Work closely with business expert to better understand and translate business needs and requirements.
• Collaborate with internal and external partners to transform business requirements into a business solution.
• Use state-of-the art approaches and propose new algorithms to generate solutions to complex problems such as resource planning, scheduling, facility location and network design
• Develop, validate and deploy complex simulation and optimization models to drive decisions.
• Identify, collect, and structure data from different sources to specify input for optimization models
• Identify relevant business KPIs and metrics that drive optimization objectives
• Communicate obtained results with different stakeholders and business entities
• Be in support of IT teams for the industrialization and integration of developed optimization and simulation algorithms
• Participate in discussion with internal and external (academic and industrial) partners
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

PROFILE AND QUALIFICATIONS :

• A MSc with 3+ years of experience or PhD degree in Operational Research, Applied Mathematics or related fields.
• A strong background in Operations research and optimization techniques is a must
• Strong programming skills using Python/R and C++.
• Experience with using solvers CPLEX, Gurobi, etc.
• Good skills in SQL.
• Knowledge in the logistics industry is essential, and in the maritime industry is very appreciated
• Knowledge of data science technologies (Data Analysis, Machine Learning, etc.) would be a plus
• Experience with data querying languages, and statistical or mathematical software.
• Proficient in writing algorithms and knowing when to apply them.
• Outstanding communication skills.
• Ability to communicate technical information clearly to both technical and non-technical people.
• Collaborative, able to work in multidisciplinary teams
• Open-minded and innovative, focus on customer value

Come along on CMA CGM’s adventure !