- Professional
- Office in Berlin
We are on the lookout for a Senior Data Scientist to join our "Quick Commerce Growth Product Line” on our journey to always deliver amazing experiences.
Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.
At Quick Commerce, we are building the next generation of ranking and personalization systems to power our global quick commerce business. We want every customer to have a truly personalized experience – from the very first search to the final checkout – enriched with live signals that reflect their real-time needs.
As a Senior Data Scientist for Ranking, you will work side-by-side with Data Scientists, Machine Learning Engineers, and Software Engineers to design, experiment with, and deliver advanced ranking solutions deployed across dozens of countries and millions of customers.
This is a role for someone who has already worked in the ranking domain at scale and is hungry to push boundaries further. You will drive hypotheses, run experiments, and bring multi-stage ranking architectures into production with real business impact. If you’re a strong coder with a hacker mentality and thrive in high-scale applied ML problems, we’d love to talk.
Your mission:
Design, experiment, and deploy multi-stage ranking systems that improve relevance, personalization, and user experience at global scale.
Drive experimentation: formulate hypotheses, analyze A/B tests, and turn insights into production-ready ranking models.
Leverage live user signals and context to make ranking more adaptive and dynamic.
Keep yourself up to date and apply state-of-the-art ranking models to see what truly works best for our customers.
Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production.
Contribute to the long-term vision of ranking and personalization at QC, while delivering short-term wins that unlock measurable business impact.
Mentor and inspire peers, raising the quality bar for Data Science in ranking across the tribe.
Contributions to the data science community (conference talks, papers, OSS).
Experience mentoring other team members and driving knowledge sharing.
Your heroic skills:
5+ years of industry experience applying Data Science and Machine Learning in production, ideally in large-scale consumer-facing applications.
Deep expertise in ranking (multi-stage pipelines, learning-to-rank, retrieval, blending, personalization) – ideally in e-commerce, ads, search, or recommendation systems.
Strong statistical foundations and ability to distinguish signal from noise in large-scale experimentation.
Excellent engineering skills: write clean, maintainable Python code; experience bringing ML models into production with best practices for observability, monitoring, and performance.
Experience with large-scale experimentation and A/B testing platforms.
Proven ability to work cross-functionally with engineers and product stakeholders, translating business problems into data science solutions.
A hacker mentality: pragmatic, hands-on, and comfortable iterating fast to get ranking solutions live.
Nice to have:
Experience scaling ranking systems across multiple markets and heterogeneous platforms.
Familiarity with cloud platforms (GCP preferred).
Contributions to the data science community (conference talks, papers, OSS).
Experience mentoring other team members and driving knowledge sharing.
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.
Apply Now
