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Data Analytics & Data Illustration Summer Internship

Data Analytics & Data Illustration Internship Opportunity at Raytheon Goleta
Overview:
Raytheon Technologies is a leader in the Aerospace and Defense industries, using world-class engineering to deliver innovative solutions to customers. The IR Materials group at Raytheon Technologies’ RVS site in Goleta, CA is looking for a college intern to assist with Data Driven Initiatives. We build infrared detectors so you can expect to learn about semiconductor manufacturing and cleanroom operation. This position is a full-time summer internship with the possibility of becoming part time next fall. Start date and end date are flexible. Must be a United States citizen.

Description:
We are building the factory of the future! Our goal is to integrate IIoT, Cyber Physical Systems, Smart Manufacturing, and Machine learning into our wafer fabrication process. Specifically, this position is to assist the IR Materials’ Data Team in reaching their 2022 Data Driven Organization Goals.
 
Possible Job Responsibilities:
  • Finding Creative Solutions to Improve Illustration for Self-Aligning Resource Dashboards
  • Gathering information about external data sources and communicate findings
  • Documenting and Visually Representing Data Flows through a Factory ‘Data Map’
  • Utilize machine learning to improve manufacturing processes

Skills:
The desired applicant should possess good communications skills, be well organized and detailed oriented. We are open to candidates from a variety of backgrounds/majors, but all candidates should be excited about learning and mastering any of the preferred skills they do not possess. The ability to think both critically as well as explore creatively is also highly desired.

Preferred Skills—can also be learned on the job
  • Basic programming skills
  • Experience with any graphics editor (preferably vector based)
  • Basic understanding of database structure
  • Power BI or other data visualization software
  • SQL Server Management Studio
  • Python Machine learning libraries