Data Scientist (100%)

MDPI Romania; Basel; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

MDPI, headquartered in Switzerland, is seeking a Data Scientist to design, develop, and deploy advanced ML solutions powering data-driven products. The role emphasizes NLP, recommender systems, and agentic LLM workflows, with a strong focus on translating business problems into scalable analytical solutions.

The position requires 2-5 years of DS experience, solid Python and ML skills, and the ability to work on-site in Basel.

Qualifikationen

• Bachelor's or master's degree in Computer Science or related.
• 2-5 years of experience as a Data Scientist.
• 2-5 years of Python, ML, and LLM experience.
• 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 NLP including tokenization and NER.
• Excellent written and spoken English.
• Ability to work independently and in a team.

Aufgaben

• Design, develop, and evaluate ML models focusing on NLP, recommender systems, and LLM-based solutions.
• Translate business problems into data-driven approaches and scalable analytical solutions.
• Conduct data exploration, preprocessing, and feature engineering for high-quality inputs.
• Develop, optimize, and benchmark models with appropriate metrics and validation.
• Build LLM-powered systems including agentic workflows and RAG.
• Reproduce and compare research prototypes and state-of-the-art methods.
• Collaborate with engineering teams to productionize models.
• Monitor and improve model performance and robustness.

Kenntnisse

Python

ML/LLMs

NLP

Data analysis

Communication

English proficiency

Teamwork

Ausbildung

Bachelor's degree in Computer Science or related

Master's degree in Computer Science or related

PhD in Computer Science or related

Tools

FastAPI

Celery

Keycloak

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Jobbeschreibung

Are you passionate about turning complex data into intelligent, production-ready solutions while supporting the future of open-access science?

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.

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.

As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site.

Core Responsibilities

• Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions.
• Translate business problems into data-driven approaches and scalable analytical 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-art methods.
• Collaborate with engineering teams to support the integration of models into production.
• Monitor and analyze model performance and iterate to improve accuracy and robustness.

Additional Responsibilities

• Supervising Master/ Ph.D. students when there are trainees in the team.
• 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.
• Ability to work effectively both independently and as part of a team.

Nice to have

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

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.

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.

Initiatives

At MDPI, We Develop And Maintain Various Platforms In Order To Better Serve The Scientific Community. Please Find Here-below a List Of Our Main Platforms

• https://www.mdpi.com
• https://www.mdpi.com/books/
• https://sciprofiles.com
• https://sciforum.net
• https://www.scilit.net
• https://www.preprints.org
• https://encyclopedia.pub