Staff Data Science Engineer, SMAI
Core
Develop and deploy machine learning models and statistical analyses on terabytes of industrial manufacturing data to drive automation and intelligence in semiconductor production.
Role type
Staff Data Science Engineer (Industrial AI/ML)
Builds
Automated ML pipelines and predictive models for manufacturing execution systems
Domain
Semiconductor manufacturing / Industrial IoT
Deliverable
production ML models
Required skills
Agentic AI, statistical modeling, feature extraction, supervised/unsupervised/semi-supervised learning, SQL, Python, R, pySpark, SparkR, SparklyR, Hadoop (Hive, Spark, HBase), Teradata, Tensorflow, SSIS, ETL, Javascript, AngularJS, Tableau, time-series analysis, image analysis
Preferred skills
Experience with Manufacturing Execution Systems (MES), exposure to semiconductor industry, publications from CVPR/NIPS/ICML/KDD
Technologies
Python, R, pySpark, SparkR, SparklyR, Hadoop, Hive, Spark, HBase, Teradata, Tensorflow, SSIS, ETL, Javascript, AngularJS, Tableau
Responsibilities
Extract and cleanse data from diverse databases, apply advanced analytical methods to terabytes of datasets, develop software solutions for data analysis and automation, identify outliers and handle missing data, implement machine learning algorithms for manufacturing processes
Seniority
Staff, hands-on IC with strategic impact
