Data Scientist

We are looking for a Senior Data Scientist (m/f/d) to be part of the development of our Search Engine.

Our Search circle is embedded in our circle cluster "Customer & Shop Intelligence", which is in charge of driving a personalized and inspirational shop experience.

Responsibilities include designing and implementing search algorithms, leveraging NLP techniques, and optimizing search results for relevance and efficiency. This role will play a pivotal role in ensuring our Search Engine delivers highly accurate and comprehensive results, enhancing the overall user experience.

• elasticsearch
• AWS
• Python
• Google BigQuery
• Google Cloud Platform
• Numpy
• Pandas
• Gitlab

What you will do

• 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, We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair and circular fashion culture.

We are looking forward to receiving your application - preferably via our online application portal! This way, we can ensure a faster process and for you it is very easy to upload your application documents. :-

• 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, * 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

• Hybrid working
• Fresh fruit every day
• Sports courses
• Free access to code.talks
• Exclusive employee discounts
• Free drinks
• Language courses
• Laracast account for free
• Company parties
• Help in the relocation process
• Mobility subsidy
• State-of-the-art technology
• Central Location
• Flexible Working Hours
• Company pension
• Professional training
• Dog-friendly office
• AY Academy
• Feedback Culture
• Job Bikes