Senior Data Scientist

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Additional Information

Ready f or a challenge? Then Just Eat Takeaway.com might be the place for you. 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. About this role 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. Your remit is both deep and broad: you will personally translate our toughest logistics challenges into sophisticated modeling strategies, write clean, production-grade code, and deliver scalable solutions that directly move the metrics that matter. These are some of the key components to the position: Move beyond static business rules to engineer intelligent, automated systems capable of making high-stakes operational choices under intense real-time uncertainty. Take complete ownership of the algorithmic policies governing critical logistics inflection points, specifically optimizing order preparation triggers and courier dispatch timing. Develop machine learning and optimization frameworks designed to mathematically balance conflicting business metrics (e.g., minimizing courier idle time vs. preventing order quality degradation). Build models that account for cause-and-effect relationships, allowing the platform to identify and adjust for non-compliant partner behaviors and system feedback loops. Construct robust, scenario-based simulation engines to stress-test hypotheses and validate algorithmic performance under volatile conditions before production deployment. 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. What will you bring to the team? Advanced proficiency in machine learning methodologies, with extensive experience deploying and managing the full lifecycle of models in production. Proven experience solving Sequential Decision Making problems in domains such as capacity management, dynamic pricing, inventory control, robotics, recommendation systems, or a wider domain Deep proficiency in at least one of the following areas, alongside a solid conceptual understanding of the others: Markov Decision Processes, Stochastic Optimization, Reinforcement Learning, or Causal Inference. Strong Python skills for production-grade code, proficiency in SQL, and solid software best practices (testing, git, code reviews). Experience with feature computation pipelines like Apache Flink is a plus. 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. Ability to generate innovative ideas and test hypotheses rigorously. You critically analyse approaches, assumptions, and business impact to refine strategies for optimal results. Strong expertise working within Agile environments to deliver results. You collaborate seamlessly across diverse, cross-functional teams. Excellent communication skills to translate complex data insights and data science concepts clearly. You can effectively present and tailor your message to both technical and non-technical stakeholders. At JET, this is how we play 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. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer

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