Job Description

We are looking for a Senior Data Scientist (m/f/d) to be part of the development of our Business Intelligence Application. Our BI APP circle is embedded in our new circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience.

Our BI-APP Team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience. You will develop the algorithms powering our recommendations.

What you'll 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 recommendation 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

What we expect from you

• At least 5 years of experience in working as a Data Scientist
• 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
• 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

Nice to have:

• Experience with BigQuery
• Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform)
• Experience with generative AI frameworks (e.g., LangChain)
• Understanding of recommendation systems in e-commerce and retail
• 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

What we offer

ABOUT YOU offers a wide range of benefits to its employees.

• 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
• Remote
• AY academy
• Feedback culture
• Job bikes