Staff Data Scientist - (Quick Commerce)

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

We are on the lookout for a Staff Data Scientist to join our Quick Commerce Commercial Tribe. In this role you will be exposed to various topics related to our Quick Commerce business – assortment optimisation, content generation, promotion effectiveness improvement, and ranking. You will help other Data Scientists to deliver high quality solutions, challenge our assumptions and improve DS practices across our teams.

As a Staff Data Scientist, you will work closely with multiple cross-functional teams (Data Scientists, Machine Learning Engineers, and Software Engineers) to build and maintain highly scalable and reliable ML services deployed in dozens of countries globally with millions of customers.

If you're a skilled Data Scientist and creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

• Guide the discovery of new innovative data products from conception to operationalization to help optimize our systems and improve the experience for our users.

• Keep yourself up to date and suggest state-of-the-art models to find out what works best for our customers.

• Be the main reference point for new research and tech quality of Data Science in Qcommerce Commercial & Media Solutions tribes.

• Enable collaboration and knowledge sharing by pushing cross teams’ projects.

• Set up our teams for success by creating a long-term vision, a mid-term strategy, and several short-term roadmaps toward some of the most complex and interesting data problems.

• Last but not least, you are not afraid to build global systems that are used by thousands of people and constantly strive for excellence.

• Strong Statistical & ML Foundation – Comfortable with fundamentals, first-principles thinking, and ML theory across various domains.

• Software Engineering Best Practices – Write maintainable Python code, ensuring high standards in production systems (observability, monitoring, performance).

• Domain Expertise – Deep knowledge in at least one relevant area, such as causal inference, time series, Bayesian methods, NLP/LLM, ranking/matching, or advanced experimentation.

• Data-Driven Approach – Carefully question assumptions before working on use cases and prioritize clean, reliable data.

• Effective Communication & Agile Mindset – Filter and prioritize stakeholder requirements, focusing on MVPs and agile development.

• Mentorship & Collaboration – Support team growth through mentoring while emphasizing reliability, disciplined experimentation, and data-focused development.

Nice to Have:

• Leadership & Operational Excellence – Proven leadership in driving operational excellence and best practices within engineering teams.

• System Design & Scalability – Experience designing and implementing large, scalable distributed systems using microservices and heterogeneous platform components, with knowledge of GCP.

• Expertise in Testing & Knowledge Sharing – Strong background in A/B testing to analyze model effectiveness, with a record of knowledge sharing through conferences or publications.

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 and Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

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.