aipythondata sciencedata visualizationmatlabprocess improvementjmpstatistical process control
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка по data science в полупроводниковой отрасли у крупного игрока даст практический опыт в SPC, аналитике и дашбордах, но работа проходит на месте и доступна только студентам.
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Только для студентовАктуальный стекКрупный игрок отраслиРабота на месте
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Текст:
Hirify AI/Оригинал
TL;DR
2027 Spring Data Scientist Co-op (Semiconductor) (SPC/Python/MATLAB): Modernizing statistical process control and tool-health monitoring in a semiconductor applications lab with an accent on data consolidation, visualization, and process improvement. Focus on developing dashboards, automating SPC reporting, and creating pass/fail alerts for process technicians.
Location: Onsite in Gloucester, MA, United States; co-op starts in January 2027. Travel required up to 10% of the time.
Salary: $33–$50 per hour.
Company
hirify.global develops materials science and engineering equipment and services for semiconductor chips and advanced displays.
What you will do
Review, organize, and standardize SPC charts, control plans, and monitoring protocols across metrology systems and process tools.
Consolidate and migrate data from legacy TW and Rs metrology systems to a centralized network location.
Assess SPC performance and investigate charts, limits, workflows, and weak capability indicators such as Cpk.
Develop dashboards and data-visualization solutions for SPC trends, tool health, and exceptions.
Create pass/fail indicators and alerting workflows, and automate recurring data collection, chart generation, review, and reporting.
Collaborate with engineers and process technicians on requirements, testing, documentation, adoption, and presentations.
Requirements
Currently pursuing a BS, MS, or Ph.D. in Mathematics, Statistics, or Data Science.
Available to work full-time for a 6–8 month internship/co-op assignment while maintaining student status.
Programming experience and strong knowledge of statistical process control using statistical software such as JMP, Python, MATLAB, or similar computational tools.
Strong analytical, problem-solving, and critical-thinking skills, with the ability to lead technical investigations and drive productivity with minimal supervision.
Ability to adapt to new equipment, processes, and technologies while working in shared research facilities and following cleanroom protocols.
Clear written, verbal, and presentation communication skills for collaboration across multidisciplinary teams.
Culture & Benefits
Supportive work culture focused on learning, development, and career growth.
Health and wellbeing programs and support for personal and professional growth.
Comprehensive benefits package.
Additional compensation may include bonus and stock award programs, as applicable.
Relocation eligible.
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