Data Scientist
Core
Transform massive volumes of manufacturing and business data into predictive insights and intelligent solutions to improve yield, quality, efficiency, and operational excellence in semiconductor manufacturing.
Role type
Data Scientist (Semiconductor Manufacturing & AI)
Builds
Scalable machine learning applications, predictive models, and AI/agentic AI solutions for manufacturing environments.
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Statistical modeling, feature engineering, machine learning (supervised/unsupervised/semi-supervised), SQL, data cleansing, outlier detection, Python, R, software development, AI solution development
Preferred skills
PySpark, Google Cloud Platform (GCP), Snowflake, TensorFlow, SSIS/ETL, JavaScript, Angular, Tableau, Power BI, time-series data analysis, image analytics, Manufacturing Execution Systems (MES), semiconductor manufacturing experience, academic publications
Technologies
Python, R, SQL, PySpark, SparkR, SparklyR, TensorFlow, GCP, Snowflake, SSIS, JavaScript, Angular, Tableau, Power BI
Responsibilities
Develop predictive models and ML solutions using large-scale manufacturing datasets; perform exploratory data analysis to uncover patterns and trends; extract, integrate, transform, cleanse, and validate data from multiple sources; develop and deploy AI and agentic AI solutions; design analytical approaches to solve complex business problems; collaborate with Data Engineers, Manufacturing Engineers, and stakeholders to identify improvement opportunities; translate analytical findings into actionable recommendations.
Seniority
Mid-Senior, hands-on IC
