Data Scientist (100%)

Das ist der Job

Translate business problems into data-driven approaches and scalable analytical solutions.

Darum lohnt es sich

We are looking for a Data Scientist to join our team and help design, develop, and deploy advanced machine learning solutions that power intelligent, data-driven products. As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site.

Collaborate with engineering teams to support the integration of models into production. Additional Responsibilities Supervising Master/ Ph.D. students when there are trainees in the team. Ability to work effectively both independently and as part of a team.

What We Offer The opportunity to contribute to the academic/scientific community; Flexible working hours; Team bond strengthening through team-building events; Professional growth opportunities with our global training system; Working in a collaborative and socially responsible team; Company retreat facility; Full-coverage insurance for accidents/daily sickness; Prime location near Basel train station and city center; And more.

Are you passionate about turning complex data into intelligent, production-ready solutions while supporting the future of open-access science? This role focuses on NLP, recommender systems, and agentic LLM workflows, turning complex business challenges into scalable and impactful analytical solutions.

This is an opportunity to work at the forefront of machine learning and AI, contributing to innovative systems that leverage state-of-the-art research in practical applications. Core Responsibilities Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions.

Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling. Develop, optimize, and benchmark models using appropriate metrics and validation strategies. Build and experiment with LLM-powered systems, including agentic workflows and RAG.

Investigate, reproduce, and compare research prototypes and state-of-the-advanced methods. Monitor and analyze model performance and iterate to improve accuracy and robustness. Representing the company in e.g. attending conferences, writing scientific articles.

Requirements Bachelor’s degree/ Master's degree in Computer Science or related. 2-5 years of experience as a Data Scientist. 2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs. Strong background in data science, statistics, and analytical problem-solving.

Intermediate proficiency in FastAPI, Celery, and Keycloak. Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face. Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER). In-depth understanding of Artificial Intelligence principles.

Strong working knowledge of Microsoft O365 tools. Excellent written and spoken English. Excellent communication skills, capable of conveying complex technical concepts to non-technical stakeholders. Nice to have PhD in Computer Science or related. Leadership skills with the ability to mentor and guide junior engineers and interns.

Application process A motivational letter (EN) that briefly describes your motivations for joining MDPI; A resume (EN) including personal information, past & current education; Copy of ID and Diplomas; If available: reference letters and certificates.

About MDPI Headquartered in Switzerland, MDPI is a fully Open Access publisher with a portfolio of more than 500 journals across all scientific disciplines. To date, MDPI has published the works of over 4.5 million researchers, collaborating with an extensive network of academic institutions and scientific societies worldwide.

Above all, MDPI is committed to ensuring that high-quality research is freely accessible to readers across the globe. #J-18808-Ljbffr