Senior Data Scientist - Search (all genders)

About the Position

Senior Data Scientist - Search (all genders)

ABOUT YOU

Hybrid | Hamburg or Berlin, Germany | Experienced

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About our Product & Tech Department

Our mission is to digitize the classic shopping stroll, turning it into a personalized, inspiring experience for every customer. Technology and data sit at the center of everything we build. We are not a fashion company with a tech team on the side. Tech drives our product, our strategy, and our growth.

Our proprietary tech stack powers our own shops and SCAYLE, our commerce infrastructure solution that serves over 350 brands globally. Same foundation, bigger stage. The challenges keep things interesting.

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What To Expect

• 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

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Requirements

• 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
• 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

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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

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Salary range

70k - 85k €

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We Offer

Yes, we have thought about that too.

Look at our benefits

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About the Company

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.