Senior Expert Data Science (m/f/d)

Our digital teams are very diverse: We take care of things like programming, product development, product design (UX/UI), and web analysis. Everyone is pursuing a common goal: to create digital contact points between HSE and customers again and again with the latest technologies. Are you in?
HSE is a leading provider in the field of live commerce in Europe. The customers decide when and where they shop at HSE – whether through one of the three TV channels, the online shop, the award-winning HSE app or via social commerce. HSE represents the most entertaining form of shopping, inspiring 1.3 million active customers who value HSE’s curated product range from the areas of fashion, jewellery, beauty, wellness, household and home and living.

The company reaches about 46 million households in the DACH region through its three TV channels (HSE, HSE Extra and HSE Trend).

In the financial year 2023, HSE generated revenue of 624 million euros in the DACH region. 800 employees ensure a shopping experience that is both entertaining and customer oriented. Added to this are around 1,800 external jobs at logistics, call centre and tech development partners. The company has received multiple awards for its outstanding quality of service. HSE has been majority-owned by the investment firm Providence Equity Partners since 2012. Further information is available at corporate.hse.com and www.hse.com.

What you can expect:

  • You develop, implement, and maintain advanced machine learning models (e.g., classification, clustering, regression) to enable data-driven decisions
  • You apply statistical methods and feature engineering to extract valuable insights from structured and unstructured data
  • You ensure robustness and reproducibility through automated testing, versioning, and monitoring
  • You actively drive the implementation of the company’s data-driven strategy by developing ML/AI solutions on AWS and Snowflake
  • You collaborate closely with a highly motivated team of data engineers, modelers, and data scientists
  • You support BI and data science colleagues with self-service BI, predictive analytics, and machine learning projects

Requirements:

  • You have hands-on experience in designing, training, validating, and optimizing supervised and unsupervised machine learning models (e.g., logistic regression, decision trees, random forests, gradient boosting, clustering, neural networks)
  • You build and operate end-to-end data science pipelines – from problem definition and hypothesis formulation to production deployment – using tools like MLflow, FastAPI, Docker, and CI/CD processes
  • You are proficient in Python and the most common data science libraries (NumPy, pandas, scikit-learn, XGBoost), have basic knowledge of deep learning frameworks (TensorFlow or PyTorch), and solid SQL skills for large-scale cloud databases (e.g., Snowflake)
  • You apply MLOps best practices with model monitoring and testing in production (e.g., drift detection, performance measurement, automated alerts) and know Git workflows for versioning and deployments
  • You thrive in interdisciplinary, agile teams, communicate clearly and proactively, and are motivated to solve real-world problems with data
  • You have excellent English communication skills (written and spoken); German skills at business level are a plus
  • You are willing to work on-site up to two days per week

We look forward to receiving your application!