Position Overview
Reporting directly to the Director of Solution Software Research and Performance, the Research Engineer will play a crucial role in developing and implementing performance measurement and analysis techniques for our next-generation logistics solutions. This position is at the forefront of innovative research, aimed at significantly improving the efficiency and performance of our next-generation automated distribution centres.
What we offer:
Key Responsibilities
- Develop advanced techniques for measuring, analyzing, and predicting the performance of complex logistics systems.
- Design and conduct scientific experiments, using discrete event simulation and other approaches as experimental environments.
- Analyze and present experimental data using appropriate statistical methods.
- Collaborate with various research teams across the organization to influence roadmaps and identify research technologies for commercialization.
- Apply system thinking to integrate multiple technologies and disciplines into cohesive logistics solutions.
- Research and adapt advanced applied mathematical techniques from related fields to solve unique logistics design and performance evaluation challenges.
- Contribute to the development of innovative methodologies that provide competitive advantages in logistics solution design and performance optimization.
- Prepare and deliver high-quality presentations and reports for both internal teams and external customers.
Tasks and Qualifications:
Qualifications
- Master's degree in a relevant field.
- Strong formal academic background in mathematics or a mathematically intensive discipline, with a solid foundation in advanced mathematical concepts.
- Aptitude for innovative mathematical thinking and ability to apply complex mathematical principles to real-world problems.
- Strong background in applied statistics and experimental design.
- Working knowledge of Queueing Theory and its applications.
- Minimum 3 years of experience in logistics software system analysis.
- Experience with system integration and interdisciplinary projects.
- Background in or exposure to fields demonstrating systems thinking.
- Excellent analytical and problem-solving skills.
- Strong communication skills, including the ability to write technical documents, give presentations, and collaborate effectively in person and via digital platforms.
- Experience presenting to both internal teams and external customers.
Preferred Qualifications
- Familiarity with data analysis tools such as Alteryx.