Senior BI Data Scientist (m/f/d) - BI APP

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

• 40 % employee discount in our shop
• Flexible working hours or paid overtime
• Hybrid working
• Internal referral program 
• 16,80€ mobility subsidy
• Support in Relocation and VISA process
• International & diverse working environment
• Company pension scheme
• Sports courses: e.g. gym membership and internal sport teams
• Laracast & Egghead Account
• Mental health & wellbeing workshops
• Inhouse parcel station
• Exclusive discounts via “Corporate Benefits”
• Participating in Employee Share Program 
• Language courses
• Free choice of hardware (Mac or Windows)
• Weekly changing benefits 
• Bike-Leasing (Swapfiets)
• State-of-the-art Technologies