About DHL Supply Chain
We are the world's leading logistics company, creating a competitive advantage for our customers by providing them with logistics solutions based on our globally standardized warehousing, transportation, and integrated services. Our people are our greatest asset. We are certified as a Great Place to Work. At DHL, you will find a culture that embraces diversity and collaboration, harnesses your strengths, and builds trust through our values of respect and results. A world driven by logistics. A company powered by our people.
Job Purpose:
To develop and implement optimization models for key supply chain areas, including transportation, routing, and inventory management. The role focuses on leveraging advanced analytics and machine learning to drive actionable insights and improve decision-making within the organization.
Main Accountabilities:
• Develop and deploy optimization and machine learning models for forecasting, anomaly detection, and classification.
• Conduct exploratory data analysis (EDA) to derive actionable insights that inform business strategy.
• Create advanced analytics dashboards for visualizing insights and facilitating decision-making.
• Guide the team in selecting appropriate modeling techniques and foster a culture of technical excellence and innovation.
• Ensure continuous training and upskilling of the team in emerging technologies. • Translate complex business questions into structured analytical problems.
• Collaborate with cross-functional teams to integrate models into business processes and systems.
• Communicate complex analytical findings clearly to both technical and non-technical stakeholders.
• Support community-building efforts to promote analytics and data-driven culture across the organization.
• Oversee the management of outsourced analytical projects, ensuring cost-effectiveness and value delivery.
Who We Are Looking For:
Talent with a Data Scientist profile with a strong background in logistics or supply chain environments.
The ideal candidate will have a minimum of 6 years of experience with a Bachelor's degree or 3 years with a Master's/PhD, including at least 2 years in a leadership or mentoring role.
A proven track record in delivering impactful optimization and machine learning models is essential. Candidates should possess strong technical skills in programming (Python, SQL), familiarity with data science techniques, and experience in managing cross-functional stakeholders.
A Bachelor's degree in a quantitative field is required, with a Master's or PhD preferred. Relevant certifications in machine learning or data science are a plus.
Connecting people, improving lives. Being DHL is about maximizing your potential. APPLY NOW!
