Manager, Data Science (Global Discovery, Search Ranking)

We are on the lookout for a Manager Data Science to join the Search Ranking team on our journey to always deliver amazing experiences. 

Science is at the core of our services using Machine Learning and AI to create truly personalized recommendations decode our customers queries and intent learn to rank our search results and create semantic matching. All of that for a diverse set of languages like Spanish Arabic English Mandarin or Korean. Since our algorithms run on a grand scale with thousands of requests per minute deploying and operating Machine Learning algorithms under strict latency and robustness constraints is core to creating impact with our research. 

Your Mission:

• Lead our Search Ranking team focusing on driving the precision of our search and ensuring that results are tailored to the customer by being highly contextual and personally relevant.
• Nurture an existing high-performing squad (4-7 Data Scientists). You will be a role model of Delivery Heros leadership principles responsible for your teams ongoing growth development and engagement while cultivating an inclusive culture of scientific excellence and continuous learning.
• Drive Strategic Alignment: Work very closely with Product Managers to build joint roadmaps that successfully execute on core product initiatives while dedicating space for scientific innovation.
• Champion Productionization: Guide your team to bring models as close to production as possible using our existing MLOps and Data Engineering tools. You will ensure your team understands system limitations at our scale (latency robustness DevOps monitoring) and collaborates closely with engineering counterparts early in the lifecycle to prevent late-stage deployment blockers.
• Accelerate Agentic Development: Advocate for and nurture the use of agentic tools and AI assistants (e.g. Claude Code) across the data science lifecycle. You will empower your team to leverage these technologies to increase engineering velocity streamline workflows and elevate the overall quality of our solutions.
• Act as a strong collaborator who willingly crosses domain and functional boundaries fostering close relationships with our recommendation teams and engineering counterparts to jointly manage dependencies and maximize business impact.
• Provide hands-on technical leadership. You maintain the technical depth of at least a Senior Data Scientist allowing you to actively support your team in model evaluation architecture discussions and code reviews.

At Delivery Hero youll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers creating data-driven personalized interactions that keep them coming back. As part of our Consumer Team youll enhance customer satisfaction and drive global growth and profitability through innovative projects.

Qualifications :

• You have a Masters or PhD in Computer Science Statistics Mathematics or equivalent practical industry experience.
• You have experience leading a data science team specifically within the search or recommendation domain (2 years in leadership roles).
• You have solid practical experience with Learning-to-Rank (L2R) personalization science and modern AI/ML techniques.
• Strong coding skills in Python and SQL coupled with practical experience using modern MLOps frameworks (e.g. Metaflow MLflow model monitoring tools) to operate models in high-throughput low-latency environments.
• An adaptable leader who thrives in ambiguity capable of translating complex product objectives into well-defined technical solutions.
•  Excellent written and verbal communication skills in English with a proven ability to listen build consensus and influence stakeholders beyond your immediate team.

Nice to Have:

• Publication record in relevant top-tier conferences (e.g. SIGIR RecSys KDD) or strong contributions to the data science community.
• Previous experience operating search or recommendation systems in e-commerce two-sided marketplaces or food delivery contexts.
• Demonstrated experience integrating LLMs and agentic workflows into traditional machine learning lifecycles.

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were 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 Gym & Bicycle Subsidy
• Cash. Dough. Cheddar. Whatever you call it well 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.
• Wondering what relocating to Berlin is like In this article weve put together 10 things you should know about moving to Berlin  and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.
• Ready to prepare for your interview Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed 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 experiencejust let us know with an email to our Inclusion Officer at

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Remote Work :

No

Employment Type :

Full-time