Reliability Data Scientist
Pubblicato il 17-10-2026 - Stmicroelectronics in Agrate Brianza
OUR STORY
At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.
Responsibilities
- Develop AI/ML models and advanced analytics to improve semiconductor quality and reliability
- Build predictive solutions for anomaly detection, failure pattern recognition,
and early risk identification.
- Integrate data from test, manufacturing, field returns, and reliability sources into scalable analytical workflows.
- Translate complex data into actionable insights through statistical modeling, explainable AI, and visualization.
- Collaborate across product, quality, manufacturing, process, and customer teams to support root-cause analysis and decision-making.
- Contribute to reliability metrics, data standards, and monitoring dashboards.
Requirements
- Master’s degree in a quantitative field such as Data Science, Computer Science, Engineering, Physics, Statistics, or Applied Mathematics.
- Strong programming skills
- Experience with AI/ML and analytics tools such as pandas, NumPy, scikit-learn, XGBoost, PyTorch, or TensorFlow.
- Solid knowledge of statistics, predictive modeling, and data visualization.
- Good understanding of semiconductor technologies; r