Data Scientist - Quick Commerce

Delivery Hero; Berlin; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working model

27 days holiday

Educational Budget

Language Courses

Parental Support

Udemy Business access

Health Checkups

Gym & Bicycle Subsidy

Meal Vouchers

Public Transportation Discount

Life & Accident Insurance

Corporate Pension Plan

Share Purchase Plan

Sabbatical Bank

Cashback/Discounts

Job summary

Delivery Hero is seeking a Data Scientist to join our Quick Commerce team in Berlin. You will work side-by-side with Data Scientists, ML Engineers, and Software Engineers to design, build, and deploy ML models that automate content creation and power smart product assortment.

You should have a strong background in applied ML, especially NLP, classification, or recommendation systems, and be eager to tackle catalog problems at scale. Hybrid work is available on our Berlin campus.

Qualifications

• 3+ years of industry experience applying Data Science and ML in production.
• Deep expertise in NLP, classification, or recommendation systems and LLMs.
• Strong statistics and model validation skills.
• Proficient Python with production-grade coding practices.

Responsibilities

• Design, build, and deploy ML models to automate content creation.
• Develop attribute enrichment and product categorization pipelines.
• Collaborate with engineers and product stakeholders to deliver production-ready models.
• Drive hypotheses, validate model performance, and measure business impact.

Skills

Applied ML

NLP

Python

Experimentation & A/B testing

Cross-functional collaboration

Education

PhD in AI / ML

Tools

GCP

ML deployment

Job description

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 Data Scientist to join our Quick Commerce team on our journey to always deliver amazing experiences. We are 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 Content & Assortment, we are building the AI engine that powers our global product catalog. We want every product to be perfectly described, categorized, and presented to our customers. Our mission is to automate and optimize the entire lifecycle of our product catalog—from creation and enrichment to categorization and curation—using advanced Machine Learning.

As a Data Scientist, you will work side-by-side with Data Scientists, Machine Learning Engineers, and Software Engineers to design, build, and deploy ML models that automate content creation and power a smarter product assortment. This is a role for someone who has a strong background in applied ML, particularly in NLP, classification, or recommendation systems, and is hungry to solve complex catalog problems at scale. You will drive hypotheses, validate model accuracy, and bring ML-powered services for attribute enrichment, product categorization, and assortment curation into production with real business impact. If you’re a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems, we’d love to talk. Design, experiment, and deploy AI/ML models/Agents to automate the enrichment and moderation of product attributes at scale. Drive experimentation: formulate hypotheses, validate model performance, analyze business impact, and turn insights into production-ready models. Develop and provide ML models to intelligently curate the product assortment, including attribute extraction, product categorization, category tree recommendations, and the curation of high-impact featured categories. Keep yourself up to date and apply state-of-the-art models (e.g., in NLP, deep learning, classification, LLMs/AI agents) to see what truly works best for our catalog automation. Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production. Contribute to the long-term vision of catalog automation and AI-driven assortment, while delivering short-term wins that unlock measurable business impact.

Qualifications

• 3+ years of industry experience applying Data Science and Machine Learning in production, ideally in large-scale consumer-facing applications.
• Deep expertise in building and deploying ML models, particularly in Natural Language Processing (NLP), classification, recommendation systems and LLMs or agentic frameworks.
• Strong statistical foundations and ability to distinguish signal from noise in large-scale experimentation and model validation.
• 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 ML model validation, experimentation, and A/B testing.
• Proven ability to work cross-functionally with engineers and product stakeholders, translating business problems into data science solutions.

Nice to have

• PhD in AI, Machine Learning, or a related field.
• Experience scaling catalog automation or content generation systems across multiple markets and heterogeneous platforms.
• Experience in designing or building Agentic AI systems.
• Experience in fine tuning Large Language Models.
• Familiarity with cloud platforms (GCP preferred).
• Contributions to the data science community (conference talks, papers, OSS).

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.
• 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Health Checkups, Meditation, Gym & Bicycle SubsidyCash. 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.
• Digital Meal Vouchers, Food Vouchers, Corporate Discounts.

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 let us know with an email to our Inclusion Officer at [e-mail] it in your application.

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

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