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

Company Description

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

1. Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques.
2. Deploy your solutions into production, taking full ownership and ensuring high performance and scalability.
3. Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment.
4. 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.
5. Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference.

Who you are

1. At least 5 years of experience in working as a Data Scientist.
2. Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++).
3. Strong SQL skills with experience in analytical or transactional database environments.
4. Proven experience in building and deploying machine learning solutions that deliver tangible business value.
5. Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars).
6. Experience designing, building, and managing data pipelines.
7. Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker).
8. Solid understanding of statistical methods for model evaluation.
9. Big Data: Experience analyzing large datasets using statistical and machine learning techniques.
10. Excellent written and verbal communication skills in English.
11. Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders.
12. Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models.
13. A proactive approach to knowledge sharing and fostering a quick development environment.

Nice to have

1. Experience with BigQuery.
2. Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform).
3. Experience with generative AI frameworks (e.g., LangChain).
4. Understanding of recommendation systems in e-commerce and retail.
5. Knowledge of time series and (graph) neural network models.
6. Familiarity with statistical testing and Gaussian Processes.
7. Strong Knowledge of Computer Vision libraries (e.g., OpenCV, TensorFlow, PyTorch).
8. Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g., MLFlow, Kubeflow).
9. Experience with deep learning libraries (e.g., TensorFlow, PyTorch).
10. Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio).
11. Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines.
12. Practical knowledge of Docker.

What you will get on top

1. 40 % employee discount in our shop.
2. Flexible working hours or paid overtime.
3. Hybrid working.
4. Internal referral program.
5. 16,80€ mobility subsidy.
6. Support in Relocation and VISA process.
7. International & diverse working environment.
8. Company pension scheme.
9. Sports courses: e.g. gym membership and internal sport teams.
10. Laracast & Egghead Account.
11. Mental health & wellbeing workshops.
12. Inhouse parcel station.
13. Exclusive discounts via "Corporate Benefits".
14. Participating in Employee Share Program.
15. Language courses.
16. Free choice of hardware (Mac or Windows).
17. Weekly changing benefits.
18. Bike-Leasing (Swapfiets).
19. State-of-the-art Technologies.