Logistics Network Optimization Scientist

DHL Express; Diegem; On-site; EUR 75,000 - 110,000; Full time

Job summary

DHL Express in Diegem is seeking a Road & Capacity Scientist to design, analyze, and optimize DHL’s road network using advanced modeling and data science techniques. You will translate operational data into actionable decisions that improve cost, service, asset utilization across linehaul, hubs, and last mile.

The role bridges network design, operations, technology, and data science, developing analytical models, prototypes, and data pipelines.

Qualifications

• University degree in Mathematics, Statistics, Physics, Computer Science or related field.
• 4+ years of experience in data science, mathematics, statistics, research, and/or IT.
• Knowledge of machine learning, statistics, data visualization, cleansing techniques, and data pipelines.
• Programming skills in Python, R, or Java and experience with databases (relational, big data).
• Ability to produce creative and analytical solutions based on clear analyses of complex processes.
• Fluent in English, written & spoken.

Responsibilities

• Design, analyze, and optimize DHL’s road network using advanced modeling, optimization tools, and data science techniques.
• Translate operational data into actionable network decisions to improve cost, service, and asset utilization.
• Develop analytical models, prototypes, and best‑practice methods for business users.
• Build data pipelines and modify code to prepare for deployment.
• Present results and implications of analytics projects to internal and external stakeholders.
• Collaborate with network design, operations, technology, and data science teams.

Skills

Mathematics

Statistics

Physics

Computer Science

Python

R

Java

Data visualization

Data pipelines

Education

University degree

Tools

SQL

Relational databases

Big data technologies

Hadoop

Spark

Job description

DHL Express in Diegem is seeking a Road & Capacity Scientist to design, analyze, and optimize DHL’s road network using advanced modeling and data science techniques. You will translate operational data into actionable decisions that improve cost, service, asset utilization across linehaul, hubs, and last mile.

The role bridges network design, operations, technology, and data science, developing analytical models, prototypes, and data pipelines.