Data Scientist (m/f/d)

Advantest; Deutschland; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a Data Scientist (m/f/d) to develop and deploy machine learning solutions for semiconductor testing. The ideal candidate has a relevant degree and hands-on experience with NLP and LLMs. Responsibilities include automating data analysis and participating in MLOps workflows. This role offers opportunities for collaboration and project leadership.

Qualifikationen

• 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.

Aufgaben

• Collaborate with senior team members to develop and deploy machine learning solutions for semiconductor testing.
• Assist in designing and implementing LLM-driven tools to automate data analysis and defect prediction workflows.
• Contribute to MLOps workflows for model training/evaluation using Python frameworks and cloud platforms.

Kenntnisse

Machine Learning

Data Analysis

NLP

Communication Skills

Ausbildung

University degree in Data Science, Computer Science, Electrical Engineering or related field

Tools

Python

PyTorch

Pandas

NumPy

Git

Docker

Jobbeschreibung

Overview

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.

Qualifications

• 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.

Nice to have

• 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.