Job Description We are on the lookout for a Director of Data Science & AI to lead our ML Foundation team within the Consumer space, to shape the future of AI-driven customer experience at Delivery Hero. In this pivotal role, you will jointly architect state-of-the-art discovery (search and recommendation) models, influence AI strategy, and develop cutting-edge methodologies to significantly enhance the success of millions of customers. As a senior leader within the ML Foundation Domain, you will be instrumental in building and optimising our Consumer products by leveraging machine learning, advanced deep learning and AI techniques. These models will play a pivotal role in our consumer ecosystem, helping customers to provide personalized experience, enhance their conversion rate, and drive substantial GMV growth. Operating in nearly 70 countries, our Consumer infrastructure connects millions of users with their ideal vendors, food and products daily. Given that over 90% of our conversion happens through search and recommendation algorithms in DeliveryHero, 40B $ yearly GMV is running through your models and you have a very high impact potential. Thus, your leadership in discovery space will be critical in shaping our growth and profitability strategy and advancing our market position. Research & Defining Innovation in Discovery: Understand and analyze industry trends as well as most recent research papers in the discovery space. Detect how we can leverage new innovations and integrate them into our DS knowledge base to drive impact through innovation. Drive Discovery Vision: Together with your product counterparts, re-invent the next level of customer discovery experience through innovation. You co-shape the vision of the team and together with staff engineers, you design the architecture that can turn that vision to reality. AI & Deep Learning Mastery: Exceptional expertise in designing and implementing advanced deep learning architectures, particularly transformers and other sequence-based attention-driven AI models, generative ranking approaches. Rigorous Model Evaluation and Business Impact: Proficient in establishing comprehensive evaluation frameworks for models, encompassing both internal model-centric metrics and the meticulous measurement of business metrics during live A/B testing and experimentation. Cross-Functional Leadership and Alignment: Demonstrated ability to collaborate and align effectively across diverse functions, including engineering, commercial, and product teams, to drive shared goals and ensure the successful, impactful success of deep learning initiatives. Technical Vision and Continuous Innovation: Knowledge at the forefront of deep learning and machine learning engineering trends and approaches, actively driving the team to adopt cutting-edge methodologies. Possesses the expertise to collaborate with senior team members in defining the technical roadmap and leveraging advanced data processing tools ambitious team objectives.