ppAre 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. /p pThis 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. /p pAs part of our commitment to fostering a collaborative team environment, this role requires working fully on-site. /p h3Core Responsibilities /h3 ul liDesign, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions. /li liTranslate business problems into data-driven approaches and scalable analytical solutions. /li liPerform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling. /li liDevelop, optimize, and benchmark models using appropriate metrics and validation strategies. /li liBuild and experiment with LLM-powered systems, including agentic workflows and RAG. /li liInvestigate, reproduce, and compare research prototypes and state-of-the-advanced methods. /li liCollaborate with engineering teams to support the integration of models into production. /li liMonitor and analyze model performance and iterate to improve accuracy and robustness. /li /ul h3Additional Responsibilities /h3 ul liSupervising Master/ Ph.D. students when there are trainees in the team. /li liRepresenting the company in e.g. attending conferences, writing scientific articles. /li /ul h3Requirements /h3 ul liBachelor’s degree/ Master's degree in Computer Science or related. /li li2-5 years of experience as a Data Scientist. /li li2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs. /li liStrong background in data science, statistics, and analytical problem-solving. /li liIntermediate proficiency in FastAPI, Celery, and Keycloak. /li liIntermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face. /li liProficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER). /li liIn-depth understanding of Artificial Intelligence principles. /li liStrong working knowledge of Microsoft O365 tools. /li liExcellent written and spoken English. /li liExcellent communication skills, capable of conveying complex technical concepts to non-technical stakeholders. /li liAbility to work effectively both independently and as part of a team. /li /ul h3Nice to have /h3 ul liPhD in Computer Science or related. /li liLeadership skills with the ability to mentor and guide junior engineers and interns. /li /ul h3What We Offer /h3 ul liThe opportunity to contribute to the academic/scientific community; /li liFlexible working hours; /li liTeam bond strengthening through team-building events; /li liProfessional growth opportunities with our global training system; /li liWorking in a collaborative and socially responsible team; /li liCompany retreat facility; /li liFull-coverage insurance for accidents/daily sickness; /li liPrime location near Basel train station and city center; /li liAnd more. /li /ul h3Application process /h3 ul liA motivational letter (EN) that briefly describes your motivations for joining MDPI; /li liA resume (EN) including personal information, past current education; /li liCopy of ID and Diplomas; /li liIf available: reference letters and certificates. /li /ul h3About MDPI /h3 pHeadquartered 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. /p /p #J-18808-Ljbffr
Data Scientist (100%)
