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OUR STORY
At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today.
When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world!
Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential.
YOUR ROLE
To discover more, visit st.com/careers
At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today.
When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world!
Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential.
YOUR ROLE
- Collaborate with the data science team to develop and implement manufacturing dashboards, as well as pre-process, analyze, and visualize complex datasets to generate actionable insights.
- Establish data pipelines and monitoring solutions.
- Participate in the design, execution, and validation of experiments, simulations, and tests to refine models and algorithms, while ensuring adherence to data privacy and security guidelines.
- Work closely with cross-functional teams to understand their data needs, develop data-driven solutions, and effectively communicate findings to both technical and non-technical stakeholders.
- Third- or final-year computer science, mathematical sciences student (Bachelor, Master, or PhD).
- Firm grasp of concepts in AI, Computer Vision, Machine Learning, and Deep Learning.
- Familiar with data manipulation and data visualization techniques.
- Extensive knowledge of Python and SQL for data science.
To discover more, visit st.com/careers