ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

• Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques
• Deploy your solutions into production, taking full ownership and ensuring high performance and scalability
• Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment
• Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions
• Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference

• Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++)
• Strong SQL skills with experience in analytical or transactional database environments
• Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models
• Proven experience in building and deploying machine learning solutions that deliver tangible business value
• Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars)
• Experience designing, building, and managing data pipelines
• Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker)
• Solid understanding of statistical methods for model evaluation
• Big Data: Experience analyzing large datasets using statistical and machine learning techniques
• DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus
• Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI) is a plus
• Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus
• Excellent written and verbal communication skills in English
• Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders
• Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models
• A proactive approach to knowledge sharing and fostering a quick development environment

Nice To Have

• Experience with BigQuery Knowledge of time series and (graph) neural network models
• Familiarity with statistical testing and Gaussian Processes
• Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch)
• Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g. MLFlow, Kubeflow)
• Experience with deep learning libraries (e.g., TensorFlow, PyTorch)
• Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio)
• Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines
• Practical knowledge of Docker

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.