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# Semiconductor Industry Applications Engineer

- **Company:** Job Cloud Inc.
- **Location:** San Bernardino, CA, United States
- **Experience:** Expert
- **Salary:** $154,479.0 - $231,719.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Presentation, GraphPad Prism, Python (Programming Language), Minitab, SAS (Software), JMP (Statistical Software), Data Management, Spotfire, Dataiku
- **Published:** July 21, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17648363?backUrl=%2Fcareer%2F17648363%2FSemiconductor-Industry-Applications-Engineer-California

## About the Role

* An engineering or science BS or greater degree related to our target industries
 * 5 years experience as an analytics practitioner (engineer, scientist, researcher) in the Semiconductor manufacturing industry
 * Demonstrable data management, data analysis, and data storytelling skills
 * Experience with statistical modeling, including the use of Python/R and/or proprietary tools such as SAS JMP, Minitab, GraphPad Prism, Dataiku, DataRobot, etc.
 * Knowledge of specialist tools (vertical applications) commonly used in your industry
 * Conversational fluency in the data challenges of your industry and the business value that flows from solving them

An ideal candidate might also have the following:

 * Experience in using Spotfire to solve a variety of data challenges
 * Knowledge of product positioning, differentiation, and value propositions

Hone your skills and creativity by helping others grow and learn how to analyze data and solve analytical problems. Join a welcoming team of motivated professionals building the best analytics technology on earth!
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.



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