DATA SCIENTIST SMART MFG & AI｜New College Graduates Welcome
Core
Develop predictive models and actionable insights from terabytes of manufacturing data using statistics, machine learning, and semiconductor physics to improve industrial processes.
Role type
Data Science Engineer (Industrial Manufacturing & AI)
Builds
Automated data analysis tools, predictive models, and software programs for semiconductor manufacturing.
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models | product features
Required skills
statistical modeling, feature extraction, supervised/unsupervised/semi-supervised learning, SQL, software development, Python, R, data cleansing, outlier identification, time-series analysis, image analysis, scripting for automation
Preferred skills
Generative AI (RAG, LLM tuning), root cause analysis algorithms, Manufacturing Execution Systems (MES), wafer process and yield analysis, Google Cloud Platform (GCP), Tensorflow, CVPR/NIPS/ICML/KDD publications
Technologies
Python, R, Javascript, AngularJS 2.0, Tableau, MSSQL, Snowflake, Tensorflow, Porch, Google Cloud Platform (GCP)
Responsibilities
Identify questions and issues for data analysis projects, develop software programs and algorithms to cleanse and integrate large datasets, perform exploratory and new solution development activities, interact with Data Engineers and Business Areas Engineers to improve existing tools
Seniority
Entry-level (New College Graduates Welcome)
