AI-Driven Reliability Data Scientist (Maternity Cover)

STMicroelectronics; Italia; On-site; EUR 38,000 - 45,000; Full time

Job summary

STMicroelectronics is seeking a data science specialist to advance AI/ML initiatives for semiconductor quality and reliability. You will develop models and integrate diverse data sources across test, manufacturing, field returns, and reliability.

You will translate complex data into actionable insights, collaborate with product, quality, manufacturing, and customer teams, and contribute to dashboards and metrics. A Master’s in a quantitative field and strong programming skills are required.

Qualifications

• Master’s degree in a quantitative field such as Data Science, CS, 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; reliability engineering knowledge is an advantage.
• Strong communication skills and ability to work effectively in cross-functional environments.

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

Skills

AI/ML tools

Programming skills

Data visualization

Cross-functional collaboration

Education

Master's degree in quantitative field

Tools

Pandas

NumPy

scikit-learn

XGBoost

PyTorch

TensorFlow

Job description

STMicroelectronics is seeking a data science specialist to advance AI/ML initiatives for semiconductor quality and reliability. You will develop models and integrate diverse data sources across test, manufacturing, field returns, and reliability.

You will translate complex data into actionable insights, collaborate with product, quality, manufacturing, and customer teams, and contribute to dashboards and metrics. A Master’s in a quantitative field and strong programming skills are required.