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- Work with Test/Product Engineers, Process and Equipment Engineers, IT and other relevant departments collaboratively to develop data science solutions that will improve test output, yield, quality and process capability.
- Utilize various techniques in statistics and statistical modelling, machine learning and data engineering to extract insightful information from existing device test and manufacturing data.
- Prepare and generate Industry 4.0 initiatives and proposals for review and implementation.
- Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science or related field.
- Experience in Semiconductor Data Science will be an advantage.
- Background in Artificial Intelligence, Machine Learning, Statistical Techniques for Modeling and Simulation is preferred.
- Proficient in coding using Python and other related languages.
- Good communication and interpersonal skills.
- Excellent project management, analytical and problem-solving skills.
- Able to work independently and as a team.
Data Engineer - Singapore - ASE SINGAPORE PTE. LTD.
Description
Roles & ResponsibilitiesAs a Data Engineer assigned to the Test/Product Department, you will be working with various internal teams to develop Smart Engineering solutions through Artificial Intelligence and Machine Learning.
Responsibilities:
Requirements:
Machine Learning
Data Analysis
Modeling
Big Data
Pipelines
Process Capability
Hadoop
Data Management
Artificial Intelligence
ETL
Data Engineering
Data Mining
Python
Statistics
Data Science
Data Analytics
Electrical Engineering
Databases
Able To Work Independently