Data Science Manager (Sofort einstellen)

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. As the Data Science Manager for Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. Team Leadership: Manage, mentor, and coach a high-performing team of Data Scientists to foster a collaborative and results-driven culture. Define logistics estimation solutions aligned with business goals, partnering with Product Management to prioritize initiatives. Manage dependencies and collaborate closely with Machine Learning and Backend Engineers for effective ETA implementation. Stakeholder Communication: Act as the primary interface, translating complex data and ML concepts into clear business insights for non-technical stakeholders. Partner with Machine Learning Engineers to transition robust designs and algorithmic logic into production. A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders. 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.