data-science

ABOUT YOU

<div><section><div><p></p><h2>Company Description</h2></div><div><p> </p><ul></ul></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>We are looking for a <strong>Senior Data Scientist (m/f/d)</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 experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++)</li><li>Strong SQL skills with experience in analytical or transactional database environments</li><li>Proven experience in building and deploying machine learning solutions that deliver tangible business value</li><li>Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …)</li><li>Experience designing, building, and managing data pipelines</li><li>Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker)</li><li>Solid understanding of statistical methods for model evaluation</li><li>Big Data: Experience analyzing large datasets using statistical and machine learning techniques</li><li>Excellent written and verbal communication skills in English.</li><li>Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders</li><li>Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models</li><li>A proactive approach to knowledge sharing and fostering a quick development environment<br> </li></ul><p><strong>Nice to have</strong><br> </p><ul><li>Experience with BigQuery</li><li>Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform)</li><li>Experience with generative AI frameworks (e.g., LangChain)</li><li>Understanding of recommendation systems in e-commerce and retail</li><li>Knowledge of time series and (graph) neural network models</li><li>Familiarity with statistical testing and Gaussian Processes</li><li>Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch)</li><li>Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g. MLFlow, Kubeflow, …)</li><li>Experience with deep learning libraries (e.g., TensorFlow, PyTorch)</li><li>Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio)</li><li>Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines</li><li>Practical knowledge of Docker<br> </li></ul><p><strong>What you will get on top</strong><br> </p><ul><li>Grow together with one of the fastest growing eCommerce companies in Europe</li><li>Flexible working times</li><li>40% discount on our online shop</li><li>Fresh fruits + drinks everywhere</li><li>Language courses (German &amp; English)</li><li>Free sports courses &amp; reduced price for gym membership</li><li>Subsidized public transportation ticket</li><li>Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage</li><li>State-of-the-art tech stack running on AWS</li><li>Modern office in the city center of Hamburg</li><li>International working environment and English as company language</li><li>Company flats (subject to availability)</li><li>Agile work environment (MOVE) and cross-functional teams</li><li>Free access to Germany’s greatest developer conference code.talks</li><li>German health insurance included</li><li>Help in relocation and VISA process</li></ul></div></section></div>

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

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