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

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; reliability engineering knowledge is an advantage.
• Strong communication skills and ability to work effectively in cross-functional environments.

The expected salary range for this position is € 38.000 - 45.000 gross annual salary (RAL), plus variable pay relevant for the role.

In accordance with the EU Pay Transparency Directive and applicable Italian legislation, this compensation range has been determined based on objective, gender-neutral criteria, including job responsibilities, required skills, relevant experience, qualifications, and market benchmarks. Placement within the range will depend on the candidate’s profile and demonstrated competencies. The final offer will be made in compliance with the applicable National Collective Bargaining Agreement (CCNL), where relevant, and our internal compensation policies. We are committed to equal pay for equal work and equal opportunities for all candidates.

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.

To discover more, visit st.com/careers.