About the role
AI summarisedApply data science, machine learning, and statistical modeling to large-scale datasets from highly automated semiconductor manufacturing operations. Work alongside experienced data scientists and engineers to extract, process, and analyze terabytes to petabytes of structured and unstructured production data to drive manufacturing performance improvements.
IDMOnsiteSmart MFG/AI
Key Responsibilities
- Extract and manipulate large volumes of data using SQL and distributed query systems.
- Clean, prepare, and preprocess complex manufacturing datasets using statistical and programming techniques.
- Build, train, and prototype machine learning models applying supervised, unsupervised, or semi-supervised learning techniques.
- Develop and support data pipelines for extraction, cleansing, outlier detection, and anomaly identification.
- Collaborate with cross-functional teams to translate technical findings into actionable insights for manufacturing processes.
- Develop analytical scripts, machine learning models, or prototypes with documented performance metrics.
Requirements
- Strong interest in pursuing a career in data science.
- Foundational knowledge of statistical modeling and machine learning concepts.
- Proficiency in programming using Python or R.
- Ability to write efficient and maintainable code.
- Familiarity with SQL for data extraction and manipulation.
- Interest or foundational knowledge of distributed computing systems (Spark, Hadoop).