• Define and utilize statistical methods to solve industry-specific problems in varying fields
  • Compare and analyze provided statistical information to identify patterns, relationships and problems
  • Apply sampling techniques to effectively determine and define ideal categories to be questioned
  • Develop custom data models and algorithms to apply to data sets
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Analyze large amounts of information to discover trends and patterns
  • Research problem and determine the data required to answer specific questions and problems
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Train other members of the team how to properly organize findings and read collected data
  • Prepare detailed reports for management and other departments by analyzing and interpreting data

工作详细内容

全部职位:
1 发布
工作时间:
早班
工作类型:
工作地址:
性别:
没有偏好
最低学历:
硕士
职位等级:
入门级
经验:
� 经验 - 2年
在之前申请:
Nov 26, 2019
发布日期:
Oct 03, 2019

yieldWerx Semiconductor

· 11-50 员工 - 拉合尔

ppyieldWerx is a semiconductor test data collection and analysis software product. Since 2000, yieldWerx Semiconductor has been helping companies across the world with state of the art Semiconductor Test Data analysis software suit. yieldWerx enables customers to perform analysis of their multiple data formats through a centralized repository, the main purpose of yieldWerx is to identify problems in manufacturing, assembly, and packaging processes to reduced the total costs of the final product and helps the clients to increase the overall efficiency and maturity of their processes. Headquartered in Naperville, Illinois and with sales and support operations throughout US, Europe, and Asia, yieldWerx is being used by Fabless Desgin Houses, ATE Venders, Wafer Fabs, IDM/OEM, test houses and the whole engineering community./p/p

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