Senior Data Scientist (m/f/d) - BI App - onsite in Hamburg or Berlin

Company Description

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.

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

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”
• Participation in Employee Share Program
• Language courses
• Free choice of hardware (Mac or Windows)
• Weekly changing benefits
• Bike-Leasing (Swapfiets)
• State-of-the-art Technologies

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