Data Scientist (m / f / d)

The Swiss-based DocMorris AG is a leading company in the fields of online pharmacy, marketplace and professional healthcare with strong brands in Germany and other European countries. With its business model, DocMorris offers its patients, customers and partners a broad range of products and services. In doing so, DocMorris is pursuing its vision of creating a digital health ecosystem for everyone to manage their health in one click.

In Spain and France, the company operates the leading marketplace for health and personal care products in Southern Europe. With an innovative business model, our marketplace does not manage stock or warehouses, it integrates the catalog of products, pricing, and stock levels of the most important and trusted off-line pharmacies in a single website, achieving 24h delivery service for more than 200,000 products and 10,000 brands from more than 1,000 pharmacies and health stores. Our business model and service have received several awards like the prize for Best Webshop in Spain as well as the Best Mobile App from the E-Commerce Awards.

We are seeking a Data Scientist to join our Data team, reporting to the Data Science Tech Lead and working side by side with the business, marketing, and engineering teams, following a philosophy 100% Agile.

You and the rest of the Data team will have the ownership to research, develop, test, maintain, and deploy systems which extract the full value from data in order to ask and answer questions, make decisions, and fuel data products, all to improve the experience for our customers, sellers and internal stakeholders.

Tasks and Responsibilities

• Interface with stakeholders to understand and solve their data needs, to brainstorm and co-create new data products with them, to help them make data-driven decisions and use generative AI.
• Create, evaluate, & improve a diverse variety of data products including smart / optimization / personalization algorithms, AI agents, LLM applications, recommender systems, and predictive models.
• Develop these analytics, models, and algorithms from the initial idea to the implementation deployed in production, with a mind toward the final consumer / stakeholder, accuracy, scalability, and an iterative approach.
• Care for the standards and quality of your analyses, code, and implementation.
• Support your teammates by participating in data science brainstorming discussions, reviewing their code and results, and working collaboratively, especially during the POC / R&D phase.

What we are looking for

Advanced Python : Libraries including pandas / polars, PyTorch, LangChain, etc; Deployed to production environments, using Kubernetes or other cloud‑native deployment solutions.

Other Skills

Our Benefits

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