Senior Data Scientist (m/f/d) - BI App - onsite in Hamburg or Berlin
Senior Data Scientist (m/f/d) - BI App - onsite in Hamburg or Berlin
Posted on :
04-07-2025
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1 Vacancy
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Job 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
- 1680 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
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
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