Offer summary

Qualifications:

5+ years as a Data Scientist, Proficiency in Python or similar languages, Strong SQL skills with large datasets, Machine learning model building experience, Knowledge of cloud platforms and CI/CD tools.

Key responsabilities:

Design innovative algorithms for personalization

Deploy solutions ensuring high performance

Identify improvements in recommendation systems

Ensure data-driven solutions are proposed

Thrive in a fast-paced, dynamic environment

Job description

Company Description

Job Description

We are looking for a Senior BI Data Scientist (m/f/d) - BI APP 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 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 a scientific computing language (e.g., MATLAB, R, Julia)
Strong SQL skills and experience with large datasets (e.g., pandas, numpy, dask)
Solid understanding of machine learning principles, with hands-on model building and deployment experience
Proven success in delivering ML solutions that drive business value
Expertise in data pipelines, cloud platforms (GCP Vertex AI, Amazon SageMaker), and statistical model evaluation
Familiarity with CI/CD tools and generative AI frameworks is a plus
Excellent English communication skills, with the ability to explain complex ML concepts to both technical and non-technical stakeholders
Proven collaborator in setting standards for ML model deployment and fostering a proactive, knowledge-sharing environment

What you will get on top