2027 Summer Software Testing Internship — Hybrid

JMP Statistical Discovery LLC.

Idaho

Hybrid

USD 21,000 - 68,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work flexibility
Free SAS training and certification
Face time with leaders
Hackathons and social events
On-site wellness facilities
Career development opportunities

Job summary

JMP Statistical Discovery LLC. is offering a paid internship at our Cary, NC HQ with hybrid work options. You will work on quality testing for JMP software, building tests and tools, and communicating results to stakeholders.

This role emphasizes learning, growth, and practical, real-world projects that align with JMP’s product releases. We seek undergraduates in CS/Data Science/MIS/Statistics/Analytics not graduating before December 2027, with a curiosity for data and programming in Python or

Qualifications

  • Undergraduate student in CS/Data Science/MIS/Statistics/Analytics, not graduating before December 2027.
  • Ability to develop novel solutions to technical problems and analyze data.
  • Willing to learn JMP Scripting Language (JSL) and work with JMP software.
  • Strong communication and organizational skills.

Responsibilities

  • Develop automated tests using Python or JSL.
  • Build a JMP dashboard to communicate test results clearly.
  • Create a JMP add-in using JSL.
  • Publish results to JMP Live and contribute to team projects.

Skills

Python
JSL
Data analysis
Communication

Education

Undergraduate CS/Data Science/MIS/Statistics/Analytics not graduating before Dec 2027

Tools

JMP

Job description

JMP Statistical Discovery LLC. is offering a paid internship at our Cary, NC HQ with hybrid work options. You will work on quality testing for JMP software, building tests and tools, and communicating results to stakeholders.

This role emphasizes learning, growth, and practical, real-world projects that align with JMP’s product releases. We seek undergraduates in CS/Data Science/MIS/Statistics/Analytics not graduating before December 2027, with a curiosity for data and programming in Python or

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