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Image by Philip Oroni

Data Scientist


Job Type

Full Time, Permanent

Work Mode


Job description

  • Lead and implement new and advance end-to-end solutions on product/process productivity & quality improvement with optimal use of data analytics / data science techniques.

  • Explore & deploy relevant advanced methods in data analysis & tooling including development/proto-typing - closed interaction with engineering/business users, experts & IT.

  • Driver in developing Yield / Test / Quality enhancement methodology and business processes for harmonization/optimization for cross site-deployment & implementation.

  • Able to leverage on advanced data analytics skills, work closely with engineering team towards problem-solving relating to product, process & test technology topics across the manufacturing domain.

  • Establish & provide competent training on data analysis/science &statistical methods to engineering peers/community.

  • Develop optimum & efficient data analysis methodologies including rule-based / logical decisions for engineering work processes optimization & effectiveness.

  • Continuously explore and evaluate state of the art techniques to improve Artificial Intelligence solutions efficiency and effectiveness.

  • Drive & collaborate with technical experts on data analyticsdevelopment & deployment that support productivity /quality initiatives/ projects.


  • Master / Degree in Data Science / Engineering / Computer Science /Info-comm Technology or equivalent with more than 5 years of relevant experience in Semiconductor or related industry.

  • Applied knowledge in statistical data analysis, data mining/scripting (eg. Python, R) with good understanding in manufacturing engineering processes, methods & analytical tools.

  • Applied experience in Artificial Intelligence & Machine / DeepLearning projects & applications (eg. manufacturing) required.

  • Experience in application of data analysis & data visualization software tools eg. KNIME, Tableau and techniques.

  • Knowledge of machine / deep learning frameworks such as Keras, Tensorflow, Pytorch.

  • Relevant knowledge in Front-End / Assembly / Final-Test manufacturing process are essential.

  • Candidate with experience in product engineering & device testing /advanced product & process control / problem solving and processimprovement methodologies (8D, Lean 6 Sigma) advantageous.

  • Strong communication skill, self-driven individual with ability to engage and collaborate well in a cross-functional team.


The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

We invite interested candidates to write-in with CV and regret that only shortlisted candidates will be contacted for a discussion.

Lee Shiow Chyn

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