We are seeking a highly skilled Data Scientist to join our team. As a key member of our data analytics group, you will play a crucial role in developing and deploying machine learning solutions for semiconductor testing and electrotechnical systems.Your responsibilities will include:Collaborating with senior team members to design and implement Large Language Model (LLM) driven tools to automate data analysis, technical documentation processing, and defect prediction workflows.Assisting in the preprocessing of datasets, fine-tuning open-source LLMs, and integrating retrieval-augmented generation (RAG) systems into testing pipelines.Contribute to MLOps workflows for model training/evaluation using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure).You will have opportunities to work on cross-functional agile teams, translate customer requirements into prototype solutions, and lead smaller sub-projects. Analyzing semiconductor testing data using statistical methods and visualization tools is also an essential part of this role.To succeed in this position, you should have:A university degree in Data Science, Computer Science, Electrical Engineering, or a related field (Master's preferred, Bachelor's with 2+ years' experience accepted).1-3 years of hands-on experience in machine learning, including coursework/practical work with NLP or LLMs.Proficiency in Python for data analysis (Pandas, NumPy) and basic ML model development (scikit-learn, PyTorch).