Data Scientist SMART Manufacturing & AI
Core
Develop predictive models and actionable insights from terabytes of manufacturing data using statistics, machine learning, and software engineering to improve industrial processes.
Role type
Data Science Engineer (Industrial Manufacturing & AI)
Builds
Automated data analysis pipelines, predictive models, and software programs for semiconductor manufacturing.
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models | product features
Required skills
statistical modeling, supervised/unsupervised/semi-supervised learning, SQL, Python, R, pySpark, Hadoop, Tensorflow, time-series analysis, data cleansing, outlier identification, ETL
Preferred skills
Japanese fluency, Manufacturing Execution Systems (MES) experience, image data analysis, semi-supervised learning, experience with frequently changing distributions, publications from top AI conferences
Technologies
Python, R, pySpark, SparkR, SparklyR, Hadoop, Hive, Spark, HBase, Teradata, Tensorflow, SSIS, Tableau, AngularJS 2.0, Javascript
Responsibilities
Identify data analysis questions and issues with cross-functional teams; develop software programs and algorithms to cleanse, integrate, and evaluate large datasets; perform exploratory data analysis and new solution development.
Seniority
Individual Contributor (IC)