Data scientist OR

American President Lines; Marseille; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A leading company in shipping and logistics seeks a Data Scientist to develop optimization solutions for complex business challenges. You will work closely with business experts and partners to translate needs into effective algorithms and models. The role requires strong skills in operations research, programming, and excellent communication abilities. Join a dynamic team focused on innovation and customer value.

Qualifications

• MSc or PhD in Operations Research, Applied Mathematics, or related fields.
• Strong background in operations research and optimization techniques.

Responsabilités

• Develop optimization solutions for complex business problems.
• Collaborate with partners to transform requirements into solutions.
• Communicate results effectively to stakeholders.

Connaissances

Operations Research

Optimization Techniques

Python

R

C++

SQL

Data Analysis

Machine Learning

Excellent Communication

Formation

MSc in Operations Research

PhD in Applied Mathematics

Outils

CPLEX

Gurobi

Description du poste

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ID: 559120

Location:

Marseille, FR

Data Scientist

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 by mobilizing its shipping and logistics expertise to deliver humanitarian supplies worldwide.

Present in 160 countries with over 400 offices and 750 warehouses, the Group employs more than 155,000 people globally, including 4,000 in Marseille where its head office is located.

The Role

Within the Data Science team and in collaboration with other departments, your mission will be to develop optimization solutions for complex business problems. You will work on designing, analyzing, and experimenting with operations research techniques to support tactical and strategic decisions.

Responsibilities

• Work closely with business experts to understand and translate business needs and requirements.
• Collaborate with internal and external partners to transform requirements into solutions.
• Propose new algorithms and approaches for complex problems such as resource planning, scheduling, facility location, and network design.
• Develop, validate, and deploy simulation and optimization models to inform decisions.
• Gather and structure data from various sources for optimization models.
• Identify relevant KPIs and metrics to guide optimization objectives.
• Communicate results effectively to stakeholders and business units.
• Support IT teams in industrializing and integrating algorithms.
• Engage with academic and industrial partners for discussions and collaborations.
• Handle complex issues independently, escalating only the most challenging cases.

Qualifications

• MSc or PhD in Operations Research, Applied Mathematics, or related fields.
• Strong background in operations research and optimization techniques.
• Proficient in Python/R and C++ programming.
• Experience with solvers like CPLEX, Gurobi, etc.
• Good SQL skills.
• Knowledge of the logistics industry; maritime industry knowledge is a plus.
• Familiarity with data science technologies such as Data Analysis and Machine Learning is advantageous.
• Experience with data querying languages and statistical software.
• Ability to design and apply algorithms effectively.
• Excellent communication skills, capable of explaining technical concepts clearly.
• Team-oriented, collaborative, and innovative mindset focused on customer value.

Please ensure you are familiar with the CMA CGM Corporate Internal Mobility guidelines.