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.

MySQL
Python
Google BigQuery
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 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

WHO YOU ARE

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

BENEFITS

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

YOU ARE THE CORE OF ABOUT YOU.

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! Thus, we can ensure a faster process and for you it is very easy to upload your application documents. :-)

Senior Data Scientist (m/f/d) - Business Intelligence Application