Requirements

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).

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.

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, we’ll 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.