Data Scientist and AI Engineer

The Data Scientist / AI professional will focus on developing advanced analytical and AI solutions to improve semiconductor manufacturing operations. This role combines expertise in data science, AI, and manufacturing domain knowledge to enhance production performance, yield optimization, and operational efficiency.

Key Responsibilities Develop predictive and prescriptive analytics solutions for manufacturing processes. Design and implement machine learning and AI models. Build comprehensive data models supporting manufacturing analytics. Analyze production, process, quality, and equipment data. Collaborate with manufacturing engineers and business stakeholders. Support smart manufacturing and Industry 4.0 initiatives. Deliver insights that improve yield, productivity, and equipment performance. Present findings and recommendations to technical and business audiences. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or related discipline. 5+ years of experience in analytics, machine learning, or AI. Strong knowledge of: Data Modeling Machine Learning Artificial Intelligence Statistical Analysis Experience working with large-scale structured and unstructured data. Excellent analytical and problem-solving abilities.

Semiconductor manufacturing experience is preferred Knowledge of manufacturing execution systems (MES), SPC, and process control is an advantage Experience with Azure, OCI, or Snowflake platforms. Programming experience in Python, SQL, or related technologies.