Senior Data Scientist

STMicro; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

STMicroelectronics in Singapore seeks a data scientist to design, develop, and implement cutting-edge models across ML, optimization, neural networks, and AI domains such as computer vision.

You will partner with stakeholders, analyze large datasets, and deliver proofs-of-concept and scalable solutions while promoting best practices and collaborating with global teams.

Qualifications

• Proven experience in developing and deploying machine learning models and AI solutions in production.
• Strong knowledge of statistical methods, data analysis, and predictive modelling techniques.
• Proficiency in programming languages such as Python and familiarity with libraries/frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale datasets, data processing tools, and cloud platforms is an advantage.
• Hands-on experience with AI domains such as GenAI, optimisation, or deep learning is preferred.
• Solid understanding of data engineering concepts, data pipelines, and model deployment practices is a plus.
• Strong problem-solving skills with the ability to translate business needs into technical solutions.
• Excellent communication skills, with the ability to present complex insights clearly to stakeholders.
• Ability to work effectively in cross-functional and global teams.

Responsibilities

• Design, develop, and implement advanced models in machine learning, optimization, neural networks, and AI domains such as computer vision.
• Partner with business stakeholders to understand requirements, define problem statements, and translate them into effective data science solutions.
• Analyze large and complex datasets to uncover trends, generate insights, and support data-driven decision-making using statistical techniques.
• Develop proof‑of‑concepts, prototypes, and scalable solutions that clearly demonstrate business value.
• Provide thought leadership in data science and AI, promoting best practices and innovative approaches across projects.
• Prepare and review technical design documentation, ensuring clarity, quality, and alignment with architecture standards.
• Collaborate with global teams on cross‑site data science projects, fostering teamwork and knowledge sharing.
• Support local technical leadership in Singapore by ensuring effective project execution and timely delivery.

Skills

ML models

Statistics

Python

TensorFlow

PyTorch

scikit-learn

Data pipelines

Cloud platforms

GenAI

DL

Education

Bachelor’s/Master’s/PhD in Data Science or related field

Tools

Power BI

Tibco Spotfire

Python visualization libraries

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.

YOUR ROLE

The role involves designing, developing, and implementing cutting-edge models and solutions across a range of quantitative and AI disciplines, including machine learning, optimization, neural networks, and agentic AI.

• Design, develop, and implement advanced models in machine learning, optimization, neural networks, and AI domains such as computer vision.


• Partner with business stakeholders to understand requirements, define problem statements, and translate them into effective data science solutions.


• Analyze large and complex datasets to uncover trends, generate insights, and support data-driven decision-making using statistical techniques.


• Develop proof‑of‑concepts, prototypes, and scalable solutions that clearly demonstrate business value.


• Provide thought leadership in data science and AI, promoting best practices and innovative approaches across projects.


• Prepare and review technical design documentation, ensuring clarity, quality, and alignment with architecture standards.


• Contribute to innovation initiatives, including intellectual property development and potential patent submissions.


• Collaborate with global teams on cross‑site data science projects, fostering strong teamwork and knowledge sharing.


• Support local technical leadership in Singapore by ensuring effective project execution and timely delivery.

YOUR SKILLS & EXPERIENCES

• Proven experience in developing and deploying machine learning models and AI solutions in a production or business environment.


• Strong knowledge of statistical methods, data analysis, and predictive modelling techniques.


• Proficiency in programming languages such as Python and familiarity with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).


• Experience working with large-scale datasets, data processing tools, and cloud platforms is an advantage.


• Hands‑on experience with AI domains such as GenAI, optimisation, or deep learning is preferred.


• Solid understanding of data engineering concepts, data pipelines, and model deployment practices is a plus.


• Strong problem‑solving skills with the ability to translate business needs into technical solutions.


• Excellent communication skills, with the ability to present complex insights clearly to both technical and non‑technical stakeholders.


• Ability to work effectively in cross‑functional and global teams.

Preferred Qualifications

• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.


• Work experience involving machine learning, computer vision, generative AI, data analytics, or predictive modelling in the domain of Product Test Engineering/Semiconductor Manufacturing.


• Exposure to cloud platforms, data engineering concepts, databases, or model deployment practices.


• Experience with data visualisation tools such as Power BI, Tibco Spotfire, or Python visualisation libraries.


• Familiarity with AI domains such as deep learning, computer vision, optimisation, or large language models (LLMs).

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 recognised in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organisation & change, business strategy, and performance.

At ST, we endeavour 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.