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

<h3>Company Description</h3><p> </p><ul></ul><h3>Job Description</h3><p>We are looking for a <strong>Senior BI Data Scientist (m/f/d) - BI APP</strong> to be part of the development of our Business Intelligence Application. Our BI APP circle is embedded in our new circle cluster “Customer &amp; Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience.</p><p>Our BI-APP Team uses data from across the company and transforms it into logics &amp; scores, used to provide the best personalized user shopping experience. You will develop the algorithms powering our recommendations.</p><p> </p><p><strong>What you will do</strong></p><ul><li>Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques</li><li>Deploy your solutions into production, taking full ownership and ensuring high performance and scalability</li><li>Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment</li><li>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</li><li>Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference<br/>  </li></ul><p><strong>Who you are</strong></p><ul><li>At least 5 years of experience in working as a Data Scientist</li><li>Proficiency in Python or a scientific computing language (e.g., MATLAB, R, Julia)</li><li>Strong SQL skills and experience with large datasets (e.g., pandas, numpy, dask)</li><li>Solid understanding of machine learning principles, with hands-on model building and deployment experience</li><li>Proven success in delivering ML solutions that drive business value</li><li>Expertise in data pipelines, cloud platforms (GCP Vertex AI, Amazon SageMaker), and statistical model evaluation</li><li>Familiarity with CI/CD tools and generative AI frameworks is a plus</li><li>Excellent English communication skills, with the ability to explain complex ML concepts to both technical and non-technical stakeholders</li><li>Proven collaborator in setting standards for ML model deployment and fostering a proactive, knowledge-sharing environment</li></ul><p> </p><p><strong>What you will get on top</strong><br/>  </p><ul><li>40 % employee discount in our shop</li><li>Flexible working hours or paid overtime</li><li>Hybrid working</li><li>Internal referral program </li><li>16,80€ mobility subsidy</li><li>Support in Relocation and VISA process</li><li>International &amp; diverse working environment</li><li>Company pension scheme</li><li>Sports courses:  e.g.  gym membership and internal sport teams</li><li>Laracast &amp; Egghead Account</li><li>Mental health &amp; wellbeing workshops</li><li>Inhouse parcel station</li><li>Exclusive discounts via “Corporate Benefits”</li><li>Participating in Employee Share Program </li><li>Language courses</li><li>Free choice of hardware (Mac or Windows)</li><li>Weekly changing benefits </li><li>Bike-Leasing (Swapfiets)</li><li>State-of-the-art Technologies</li></ul>