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Urgent! Senior Data Scientist - Quick Commerce Job Opening In Berlin – Now Hiring Delivery Hero
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.
Qualifications
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.
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Berlin, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Berlin, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 37574 jobs in Germany and 4300 jobs in Berlin. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Delivery Hero is currently hiring and seeking a Senior Data Scientist Quick Commerce to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Delivery Hero adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Scientist Quick Commerce Jobs Germany varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Scientist Quick Commerce typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Data Scientist Quick Commerce interview at Delivery Hero, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Delivery Hero's products or services and be prepared to discuss how you can contribute to their success.
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