Data Scientist
Core
Transform massive volumes of manufacturing and business data into predictive insights and intelligent solutions for semiconductor manufacturing environments.
Role type
Data Scientist (Smart Manufacturing & AI)
Builds
Scalable machine learning applications and AI/agentic AI solutions for yield, quality, and efficiency.
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Python, R, SQL, statistical modeling, feature engineering, machine learning (supervised/unsupervised/semi-supervised), data cleansing, outlier detection, AI solution development
Preferred skills
PySpark, Google Cloud Platform, Snowflake, TensorFlow, SSIS/ETL, JavaScript, Angular, Tableau, Power BI, time-series data, image analytics, Manufacturing Execution Systems (MES), semiconductor manufacturing experience, academic publications
Technologies
Python, R, SQL, PySpark, SparkR, SparklyR, TensorFlow, Google Cloud Platform, 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; 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
