Data Scientist*in (m/w/d)

More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers. As a Data Scientist (m/f/d), you will collaborate with senior team members to develop and deploy machine learning solutions, with a focus on Large Language Models (LLMs), for semiconductor testing and electrotechnical systems. Assist in designing and implementing LLM-driven tools to automate data analysis, technical documentation processing, and defect prediction workflows for the 93K IC Test platform. Contribute to MLOps workflows for model training/evaluation using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure). Participate in cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projects. Analyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization tools.

University degree in Data Science, Computer Science, Electrical Engineering, or 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). Familiarity with LLM concepts: transformer architectures, prompt engineering, or text generation techniques. Basic Linux/Unix command-line skills and ability to work with Jupyter notebooks or VS Code. Strong communication skills in English; Exposure to semiconductor testing data or industrial IoT datasets. Experience with RAG systems or LLM fine-tuning workflows (LoRA, QLoRA). Familiarity with Java for integration with existing test platform codebases. Elementary German proficiency.

Benefits Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing) Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations Apply now, preferably via our online application tool Would you like to know more about jobs at Advantest and about our unique team spirit? Our employees offer you their personal insights into our working environment. Would you like to take a closer look how our working environment looks like?