Data Scientist
Core
Build and productionize machine learning models (classification and regression) and multi-agent AI systems to support predictive and prescriptive analytics in semiconductor test and manufacturing processes.
Role type
Data Scientist (Industrial Manufacturing & AI)
Builds
Predictive ML models, agentic AI workflows, and analytical pipelines for high-volume manufacturing environments.
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models | product features
Required skills
Python, statistics, machine learning (supervised/unsupervised), SQL, Git, feature engineering, model evaluation
Preferred skills
Experience with RAG pipelines, multi-agent system design, tool-using capabilities, function calling, interactive dashboarding (Streamlit/PowerBI)
Technologies
Python, SQL, Git, Streamlit, PowerBI
Responsibilities
Develop maintainable code and analytical pipelines for high-volume manufacturing; Optimize for performance, latency, and token efficiency; Contribute to the design and implementation of multi-agent systems for PQ workflows; Work with retrieval-augmented generation (RAG) pipelines to improve context quality; Collaborate with senior team members on testing, deployment, and monitoring.
Seniority
Mid-level, hands-on IC