Das ist der Job
We’re a leading global online delivery platform, and our vision is to empower everyday convenience.
Darum lohnt es sich
Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
As a Senior Operations Research (OR) Scientist, you will play a pivotal role in designing an optimisation system that balances the supply/demand capacity of the logistics network. You will dive deep into large-scale geospatial and real-time data to design automated decision-making systems that operate in a dynamic, real-world environment.
You will develop high-performance robust optimisation models, utilising techniques like mixed-integer programming (MIP), constraint programming, stochastic programming, metaheuristics, etc. and launch them into production to control operational decisions at scale.
Extensive hands-on experience with optimisation modeling in Python using algebraic modeling languages or solver APIs (e.g., High proficiency in Python object-oriented programming, producing clean, maintainable, and type-safe code.
Strong understanding of software development best practices, including rigorous testing, CI/CD pipelines, git workflows, and code reviews. Experience working with Docker containers to support reproducible, scalable environments. Ability to generate new ideas, test hypotheses rigorously using trace data, and pitch business impr
