Road & Capacity Data Scientist, Network Optimizer

Deutsche Post; Diegem; On-site; EUR 65,000 - 100,000; Full time

Job summary

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

As processes are data-driven, you will extract insights, develop analytical models, and implement automation to support better decision‑making.

Qualifications

• University degree in Mathematics, Statistics, Physics, Computer Science or related field.
• >4 years of experience in data science, statistics, or IT.
• Knowledge of machine learning, statistics, data visualization, and data cleansing techniques.

Responsibilities

• Execute data analytics projects with minimal supervision.
• Develop statistical/mathematical models (time series, OR, ML).
• Develop and modify data pipelines for deployment.
• Bridge between network design, operations, technology and data science to optimize processes.

Skills

Data science

Machine learning

Statistics

Programming (Python/R/Java)

Data pipelines

Education

University degree in Mathematics, Statistics, Physics, Computer Science

Job description

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

As processes are data-driven, you will extract insights, develop analytical models, and implement automation to support better decision‑making.