•Establishment of algorithm models for the data platform.

•Conduct data analysis, identify potential meanings, and apply them to actual production.

•Analyze production-related big data and establish predictive models;

•Practical application and promotion of machine learning and deep learning;

•Application of artificial intelligence in visual inspection production lines;

•Establish an information reporting system and achieve data visualization.

•A Master's or Ph.D. degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Bachelor's degree with significant relevant work experience may also be considered.

•Proficiency in programming languages such as Python or R for data analysis, machine learning, and statistical modeling.

•Experience with database management systems, such as SQL, and data warehousing technologies.

•Familiarity with machine learning libraries and frameworks

•Familiarity with Siemens PLC programming

•Knowledge of data visualization tools, such as PowerBI.

•Understanding of manufacturing processes, quality control principles, and supply chain management is a plus.

•Strong analytical and problem - solving skills, with the ability to think critically and creatively to solve complex data - related problems.

•Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non - technical stakeholders.

•Ability to work independently and as part of a team, and collaborate effectively with cross - functional teams.

•Attention to detail and a high level of accuracy in data analysis and reporting.

•Ability to manage multiple projects and priorities in a fast - paced environment.

•Fluent English ability