Fab Data Scientist: Predictive Analytics & AI Lead
A*STAR - Agency for Science, Technology and Research
Singapore
On-site
SGD 60,000 - 80,000
Full time
14 days+
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Job summary
A*STAR - Agency for Science, Technology and Research in Singapore is looking for a Data Analytics & AI Specialist to join their Data & Automation team. The ideal candidate will develop and deploy solutions using machine learning and statistical modeling to tackle complex challenges in fab operations. Required qualifications include a bachelor's degree in a relevant field and at least 2 years of relevant experience. Strong skills in Python and SQL are essential, as well as experience with cloud platforms like AWS or Azure. The position offers an opportunity to work on exciting projects in a dynamic environment.
Qualifications
Minimum bachelor’s degree in Data Science, Computer Science or related field.
2+ years of experience in semiconductor manufacturing or fab automation.
Strong programming skills in Python and SQL.
Excellent teamwork and communication skills.
Responsibilities
Develop and deploy data-driven solutions using machine learning.
Design scalable data pipelines for high-volume fab data.
Collaborate with teams to improve manufacturing outcomes.
Skills
Data analytics application
Machine learning techniques
Python programming
SQL
Statistical methods
Education
Bachelor’s degree in Data Science or related field
Tools
TensorFlow
PyTorch
AWS
Azure
GCP
Spark
Kafka
Job description
A*STAR - Agency for Science, Technology and Research in Singapore is looking for a Data Analytics & AI Specialist to join their Data & Automation team. The ideal candidate will develop and deploy solutions using machine learning and statistical modeling to tackle complex challenges in fab operations. Required qualifications include a bachelor's degree in a relevant field and at least 2 years of relevant experience. Strong skills in Python and SQL are essential, as well as experience with cloud platforms like AWS or Azure. The position offers an opportunity to work on exciting projects in a dynamic environment.