Data Science Data Science Senior Data Scientist (Python) (Remote)

We’re a leading global online delivery platform, and our vision is to empower everyday convenience. 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.

Logistics is the engine room of that platform. Every order depends on a web of real-time decisions - matching couriers to deliveries, predicting arrival times, balancing supply and demand, and pricing a marketplace that never stops moving. Data science sits at the heart of these decisions, and the quality of our models directly shapes courier earnings, customer experience, and the unit economics of the business.

As Senior Data Scientist for Logistics, you will take complete technical ownership of building robust, well-engineered, data-driven solutions to exactly these problems. You will drive the vision and execution of data science for your vertical—setting the technical strategy, raising the engineering bar, and directly guiding hard modeling and architectural decisions. Move beyond static business rules to engineer intelligent, automated systems capable of making high-stakes operational choices under intense real-time uncertainty. Develop machine learning and optimization frameworks designed to mathematically balance conflicting business metrics (e.g., Drive the entire project pipeline from initial conceptualization and mathematical modeling to live production deployment and continuous A/B experimentation. Partner closely with Machine Learning and Software Engineers to safely integrate complex, CPU-bound models into our real-time production logistics stack. Advanced proficiency in machine learning methodologies, with extensive experience deploying and managing the full lifecycle of models in production. Strong Python skills for production-grade code, proficiency in SQL, and solid software best practices (testing, git, code reviews). Ability to intuitively understand feedback loops and inter-domain effects in complex networks. You prioritize simple, scalable, and effective solutions for complex projects. Strong leadership skills to guide, mentor, and develop junior data scientists. You excel at fostering team collaboration and a supportive engineering culture. A holistic approach to project management that bridges operational needs with technical execution. You confidently manage data science solutions from ideation through the full model lifecycle. Strong expertise working within Agile environments to deliver results. Excellent communication skills to translate complex data insights and data science concepts clearly. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

It's a competition for something incredibly valuable – our customers' choice.