Senior Data Scientist

STMicroelectronics Asia Pacific Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

STMicroelectronics Asia Pacific Pte Ltd in Singapore seeks a data science professional to design, develop, and implement cutting‑edge models across ML, AI, and optimization domains. You will partner with stakeholders to translate requirements into data‑driven solutions, analyze large datasets, and build scalable prototypes with business value.

You will collaborate with global teams and contribute to innovation and IP efforts.

Qualifications

• 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 modeling techniques.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with large-scale datasets, data processing tools, and cloud platforms is an advantage.

Responsibilities

• Design, develop, and implement advanced models in ML, optimization, neural networks, and AI domains such as computer vision.
• Partner with business stakeholders to translate requirements into data science solutions.
• Analyze large datasets to uncover trends and support data-driven decision-making.

Skills

Machine learning

AI solutions

Statistical analysis

Python

TensorFlow

PyTorch

scikit-learn

Data pipelines

Cloud platforms

GenAI

Deep learning

Education

Bachelor’s/Master’s/PhD in Data Science/CS/Statistics/Math/Engineering

Tools

Python

Power BI

Tibco Spotfire

Cloud Platforms

Job description

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 modeling 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, optimization, 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 modeling in the domain of Product Test Engineering/Semiconductor Manufacturing
• Exposure to cloud platforms, data engineering concepts, databases, or model deployment practices.
• Experience with data visualization tools such as Power BI, Tibco Spotfire, or Python visualization libraries.
• Familiarity with AI domains such as deep learning, computer vision, optimization, or large language models (LLMs).