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Data Science Team LeaderJust Eat Takeaway.com • Claygate, England, United Kingdom
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Data Science Team Leader

Just Eat Takeaway.com
  • GB
    Claygate, England, United Kingdom
  • GB
    Claygate, England, United Kingdom
Jetzt Bewerben

Über

Ready for a challenge?That’s good, because at Just Eat Takeaway.com (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers. About this roleAs the Senior Team Lead for Data Science - 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. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the 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.Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from homeReporting to: Data Science ManagerThese are some of the key components to the position:Team Leadership: Mentor and manage a high-performing Data Science team, fostering a culture of speed, rigor, and courier-centric problem-solving.Strategy & Roadmap: Own the data science strategy for real-time courier pay systems, including dynamic earnings, surge pricing, and incentive programs.KPI Ownership: Drive critical business outcomes by taking ownership of key courier supply metrics like availability, acceptance rates, and earnings competitiveness.Root Cause Analysis & Communication: Diagnose structural and behavioral supply issues and translate complex economic models into actionable narratives for cross-functional stakeholders.Real-Time Architecture: Design the conceptual framework for real-time incentive engines, balancing advanced model sophistication with strict latency and reliability constraints.Dynamic Pricing: Oversee the development of predictive models that address local supply-demand imbalances and optimize real-time boost levels.Fairness & Technical Standards: Act as the senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias.MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models.Causal Experimentation: Lead the design and execution of complex marketplace experiments to accurately measure the real-world impact of pay and incentive changes.Behavioral Modeling & ROI: Direct the modeling of courier behavior (elasticity, churn, engagement) and build frameworks to maximize the ROI of incentive spend using large-scale geospatial data.What will you bring to the team?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. This experience is crucial for providing effective strategic and architectural guidance.Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus.Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions.Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring.Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.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 League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering?Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. Are you ready to join the team? Apply now!#LI-AB1
  • Claygate, England, United Kingdom

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  • English
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