Activez les alertes d’offres d’emploi par e-mail !

Data scientist OR

CMA CGM

Marseille

Sur place

EUR 40 000 - 70 000

Plein temps

Il y a 26 jours

Mulipliez les invitations à des entretiens

Créez un CV sur mesure et personnalisé en fonction du poste pour multiplier vos chances.

Résumé du poste

A leading logistics company is seeking a Data Scientist to join their Decision Science team in Marseille. The role involves developing optimization solutions and collaborating with various departments to enhance decision-making processes. Ideal candidates will have a strong background in operations research, programming skills in Python/R and C++, and experience in the logistics sector.

Qualifications

  • Strong background in operations research and optimization techniques.
  • Experience with data querying languages and statistical software.
  • Knowledge of logistics industry is essential; maritime experience is a plus.

Responsabilités

  • Develop optimization solutions for complex business problems.
  • Collaborate with business experts to understand needs.
  • Communicate results effectively to stakeholders.

Connaissances

Operations Research
Optimization Techniques
Python
R
C++
SQL
Data Analysis
Machine Learning
Communication
Collaboration

Formation

MSc or PhD in Operations Research, Applied Mathematics

Outils

CPLEX
Gurobi

Description du poste

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

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 worldwide across five continents. With subsidiaries like CEVA Logistics and CMA CGM AIR CARGO, the Group continually innovates to offer comprehensive shipping, land, air, and logistics solutions.

The Group is committed to the energy transition in shipping, aiming to become Net Zero Carbon by 2050, and actively participates in humanitarian efforts through the CMA CGM Foundation.

With a presence in 160 countries, over 400 offices, and 750 warehouses, the Group employs more than 155,000 people globally, including 4,000 in Marseille, where its headquarters are located.

THE ROLE

Within the Data Science team, collaborating with other departments, your mission will be to develop optimization solutions for complex business problems. You will focus on designing, analyzing, and experimenting with operations research techniques to support tactical and strategic decision-making.

WHAT ARE YOU GOING TO DO?

As part of the Decision Science team, you will:

  1. Work closely with business experts to understand and translate business needs.
  2. Collaborate with internal and external partners to develop solutions.
  3. Apply state-of-the-art approaches and propose new algorithms for resource planning, scheduling, facility location, and network design.
  4. Develop, validate, and deploy simulation and optimization models.
  5. Gather and structure data from various sources for input into models.
  6. Define relevant KPIs and metrics for optimization objectives.
  7. Communicate results effectively to stakeholders.
  8. Support IT teams in industrializing and integrating algorithms.
  9. Engage with academic and industrial partners.
  10. Handle complex issues independently, escalating only the most challenging ones.

WHAT WE ARE LOOKING FOR?

  • MSc or PhD in Operations Research, Applied Mathematics, or related fields.
  • Strong background in operations research and optimization techniques.
  • Proficiency in Python/R and C++ programming.
  • Experience with solvers like CPLEX, Gurobi, etc.
  • Good SQL skills.
  • Knowledge of the logistics industry is essential; maritime industry experience is a plus.
  • Knowledge of data science technologies (Data Analysis, Machine Learning) is a plus.
  • Experience with data querying languages and statistical software.
  • Ability to develop algorithms and determine appropriate applications.
  • Excellent communication skills, capable of explaining technical concepts clearly.
  • Collaborative and innovative mindset, focused on customer value.

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

Obtenez votre examen gratuit et confidentiel de votre CV.
ou faites glisser et déposez un fichier PDF, DOC, DOCX, ODT ou PAGES jusqu’à 5 Mo.