Position: Data Scientist Department: Logistics Reporting to: Data Science Team Lead Location: Berlin Hybrid role: 3 days a week from our office & 2 days working from home Ready for 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 Join our Estimations team as a Data Scientist, where you'll build and improve the travel time and distance predictions that power our delivery network. Your work directly impacts millions of customer orders, helping us deliver excellence through more accurate ETAs and efficient routing. Working within Logistics Technology, you'll apply machine learning and statistical techniques to solve real-world operational challenges, collaborating closely with ML Engineers and Operations Research Scientists. You'll contribute to model improvements from development through production, while developing your skills under the guidance of senior team members. These are some of the key components to the position: Develop and validate ML models that improve prediction accuracy for travel times and distances across our delivery network Build features from operational data and design experiments to measure model performance improvements Apply engineering best practices including clean code, version control, unit testing, and production monitoring Translate analytics outputs into clear, actionable insights for stakeholders using data visualization and accessible language Collaborate with ML Engineers and Operations Research Scientists on cross-functional projects Identify opportunities to automate retraining, validation, and evaluation pipelines Monitor and maintain predictive performance in live production environments What will you bring to the team? Hands-on experience building and validating ML models, with good judgment in choosing the right approach for each problem Proficiency in Python (pandas, scikit-learn) and SQL for data analysis and model development Good understanding of supervised ML techniques including regression, classification, and gradient boosting methods Knowledge of statistical foundations, evaluation metrics, and experimental design for offline validation Exposure to ML Ops practices including version control (Git), data pipelines, and model monitoring in production Experience with geospatial data and mapping is a plus Interest in logistics and real-world operational problems is a plus 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-KF1