Das ist der Job
We are a leading global online food delivery marketplace.
Darum lohnt es sich
To empower every food moment around the world, whether it’s through customer service, coding or couriers. As a Senior Operations Research (OR) Scientist , you will play a pivotal role in designing an optimization 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 optimization models , utilizing techniques like mixed-integer programming (MIP), constraint programming, stochastic programming, metaheuristics, etc. and launch them into production to control operational decisions at scale.
You will collaborate with Data Scientists to create hybrid systems where Machine Learning guides optimization constraints and objective functions. You will help bridge the gap between prediction and control , working with engineers to define the simulation and experimental environments needed to validate these systems.
Extensive hands-on experience with commercial solvers (CPLEX/Gurobi) and open-source alternatives (HIGHS/SCIP/Google OR-Tools)Proficiency in Python object oriented programming, and experience with libraries such as Pyomo, PuLP, or GurobiPy. Hands-on experience in setting up simulations for model validation and data generation.
Strong understanding of software development best practices, including testing
