Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions. They are seeking a Master's level student for a year-round co-op position within their Joint Operations Leadership data science team, focusing on developing analytical models and machine learning solutions to enhance operational excellence and profitability.
Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with internal customers for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Interacts with product and service teams to identify questions and issues for data analysis and experiments; Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs.
Works in project teams as subject matter expert to design and development of program methods, processes, and systems to consolidate and analyze structured and unstructured, diverse "big data" sources.
Qualification
Required
In school to obtain Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or a related field
Preferred
Python
SQL
Tableau
HTML
Benefits
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.