Data Scientist - (Logistics, Pricing)(m/w/x)

## Job Description We are looking for a Data Scientist to join our "Data Science Pricing" squad  in Logistics on our journey to deliver amazing experiences. Pricing is one of the most impactful levers in our business—and you’ll be shaping how it works across dozens of markets and millions of customers. In this role, you’ll tackle a wide range of pricing-related challenges—from developing intelligent pricing algorithms to advancing our experimentation techniques. You will support other Data Scientists in delivering high-quality solutions, challenge assumptions, and help raise the bar for data science practices across our teams. As a Data Scientist, you’ll work closely with multiple cross-functional teams to build and maintain scalable, reliable machine learning services deployed globally. If you're a skilled Data Scientist and creative problem solver who’s eager to make an impact, an international workplace awaits you in the heart of Berlin! Our pricing systems operate at the heart of a fast-moving, global food delivery business—directly influencing customer experience and company performance. Your mission: * Design and implement automation and experimentation algorithms for pricing, from conception to production. * Collaborate with multidisciplinary stakeholders and translate business needs into data science solutions. * Stay up to date with the latest research and suggest state-of-the-art models to improve customer outcomes. * Grow your skills and impact while helping solve meaningful, large-scale data problems. * Most importantly: You’re excited to build global systems affecting millions of customers, and you continuously drive for excellence. ## Qualifications * Solid statistical skills—you’re confident with fundamentals and first-principles thinking in statistics and machine learning theory. * Strong engineering background—you write clean, maintainable Python code and SQL queries, following best practices for production systems. * Expertise in at least one relevant domain (e.g., causal inference, time series, Bayesian methods, neural networks, NLP/LLM, ranking/matching, advanced experimentation). * Thoughtful approach—you challenge assumptions and care deeply about working with clean, trustworthy data. * Experience in a business environment where you developed a solid business understanding. * Clear communicator—you can distill complex requirements from many stakeholders into a clear, MVP-ready direction. * You value agile processes, data-driven development, reliability, and rigorous experimentation. **Nice to have:** * Experience in pricing or food delivery business. ## Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. * Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week * We offer 27 days holiday with an extra day on 2nd and 3rd year of service * We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. * Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy * Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan * The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.