Data Scientist Quick Commerce
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Job Location:
Monthly Salary:
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
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. Youll help build technology that scales our non-food offerings reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team youll 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 catalogfrom creation and enrichment to categorization and curationusing 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 youre a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems wed love to talk.
Your mission:
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 :
What you need to be successful:
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 :
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 include it in your application. 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
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
As the worlds leading 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 but driven by people. As one of Europes largest tech platforms, we enable ambitious talent to del ... View more
