Data Scientist (100%)

Responsibilities

• check_circle Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions.
• check_circle Translate business problems into data-driven approaches and scalable analytical solutions.
• check_circle Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling.
• check_circle Develop, optimize, and benchmark models using appropriate metrics and validation strategies.
• check_circle Build and experiment with LLM-powered systems, including agentic workflows and RAG.
• check_circle Investigate, reproduce, and compare research prototypes and state-of-the-art methods.
• check_circle Collaborate with engineering teams to support the integration of models into production.
• check_circle Monitor and analyze model performance and iterate to improve accuracy and robustness.
• check_circle Supervising Master/ Ph.D. students when there are trainees in the team.
• check_circle Representing the company in e.g. attending conferences, writing scientific articles.

Basic qualifications

• 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.
• Ability to work effectively both independently and as part of a team.

Preferred qualifications

• PhD in Computer Science or related.
• Leadership skills with the ability to mentor and guide junior engineers and interns.

Benefits

• check_circle The opportunity to contribute to the academic/scientific community;
• check_circle Flexible working hours;
• check_circle Team bond strengthening through team-building events;
• check_circle Professional growth opportunities with our global training system;
• check_circle Working in a collaborative and socially responsible team;
• check_circle Company retreat facility;
• check_circle Full-coverage insurance for accidents/daily sickness;
• check_circle Prime location near Basel train station and city center;
• check_circle And more.
• check_circle A motivational letter (EN) that briefly describes your motivations for joining MDPI;
• check_circle A resume (EN) including personal information, past & current education;
• check_circle Copy of ID and Diplomas;
• check_circle If available: reference letters and certificates.

About the company