Data Scientist (m/f/d)

Advantest; Deutschland; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

An innovative company is seeking a Data Scientist to join their team and work on cutting-edge machine learning solutions for semiconductor testing. In this role, you will collaborate with experienced professionals to design and implement LLM-driven tools that automate data analysis and enhance defect prediction workflows. You will have the opportunity to work with advanced technologies, including cloud platforms and MLOps practices, while contributing to agile teams that turn customer requirements into prototype solutions. If you are passionate about machine learning and eager to make an impact in the tech industry, this position offers a fantastic opportunity for growth and learning.

Qualifikationen

• 1-3 years of hands-on experience in machine learning, including NLP or LLMs.
• Proficiency in Python for data analysis and basic ML model development.

Aufgaben

• Develop and deploy machine learning solutions for semiconductor testing.
• Analyze testing data using statistical methods and visualization tools.

Kenntnisse

Machine Learning

Python

Data Analysis

Natural Language Processing (NLP)

Statistical Methods

Communication Skills

Ausbildung

Master's in Data Science

Bachelor's in Data Science

Bachelor's in Computer Science

Bachelor's in Electrical Engineering

Tools

PyTorch

Hugging Face

AWS

Azure

Docker

Git

Jupyter Notebooks

VS Code

Jobbeschreibung

• 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.
• Work under guidance to preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate 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).
• 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.
• Foundational understanding of MLOps practices - version control (Git/DVC), containerization (Docker), and cloud deployment basics.
• Basic Linux/Unix command-line skills and ability to work with Jupyter notebooks or VS Code.
• Strong communication skills in English; ability to document technical work clearly.

This is a plus:

• Exposure to semiconductor testing data or industrial IoT datasets.
• Experience with RAG systems or LLM fine-tuning workflows (LoRA, QLoRA).
• Basic knowledge of electronic measurement principles (oscilloscopes, parametric analyzers).
• Familiarity with Java for integration with existing test platform codebases.
• Elementary German proficiency.