Industrial Engineer, New College Grad- Master's (Santa Clara, CA)
Контакты
90 000 - 124 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
pythonsqloperationsstatisticspower bisupply chainmachine learninggenerative ailean six sigmaindustrial engineering
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$90к-124к/год
$85к$95кмедиана$110к
По похожим ролям (50) ~ $95к/год
84
Хорошая вакансия
развернуть
Понятная роль с заметным влиянием на бизнес в ведущей компании полупроводниковой отрасли, а зарплата близка к медиане рынка. При этом сочетание операционных и аналитических задач может сделать нагрузку широкой.
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Широкий круг задачЗарплата на уровне рынкаСовременные инструментыПолупроводниковая отрасльПотенциал развития
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Industrial Engineer, New College Grad- Master's (Santa Clara, CA) (Supply Chain/Operations Analytics): Leading strategic projects that streamline business processes, improve supply chain and operations, reduce costs, and improve business performance with an accent on large-scale data analysis, statistical modeling, and Power BI visualization. Focus on designing predictive models, optimizing complex logistics and service operations, and operationalizing data-driven improvements across a global semiconductor services business.
Location: Santa Clara, CA; onsite role with 20% travel. Relocation eligible.
Salary: $90,000–$124,000 per year.
Company
hirify.global provides materials science and engineering solutions, equipment, and services for semiconductor chips and advanced displays.
What you will do
Lead strategic projects that streamline business processes, improve supply chain and operations, reduce costs, and improve business performance.
Analyze current-state processes, quantify opportunities, develop improvement workstreams, secure stakeholder buy-in, and drive implementation across the full project lifecycle.
Structure complex business problems, develop hypotheses, analyze large datasets, and deliver data-driven recommendations.
Optimize operations and business processes to improve performance, reduce cycle time, and lower costs.
Develop statistical analyses, machine learning models, algorithms, and data-quality processes for complex datasets.
Create Power BI mockups, reports, applications, and interactive data visualizations; communicate solutions and support implementation and end-user training using generative AI tools.
Requirements
Broad understanding and experience in logistics, financial reporting, purchasing, and service business management.
Strong analytical, organizational, communication, and interpersonal skills, including the ability to extract insights from multiple data sources and communicate complex ideas effectively.
Experience using statistical programming languages such as Python and SQL to manipulate data and derive insights from large datasets.
Knowledge of machine learning techniques, including clustering, decision tree learning, and neural networks, and their applications.
Knowledge and application experience with advanced statistical techniques, including regression, distributions, and statistical tests.
Ability to work effectively in a matrix environment, influence stakeholders, collaborate cross-functionally, and provide informal guidance to new team members.
Detail-oriented approach and ability to connect information across business and data sources.
Knowledge of Lean / Six Sigma.
Master's degree in Industrial Engineering, Computer Science, or an equivalent field.
1–3 years of relevant work experience.
Nice to have
Experience in the semiconductor industry or consulting.
GPA of 3.0 or above.
Culture & Benefits
Supportive work culture focused on learning, development, and career growth.
Opportunity to influence a $6B business with thousands of field engineers, a complex global logistics network, and a broad product and service portfolio.
Comprehensive benefits package with programs supporting employee health and wellbeing.
Additional compensation may include bonus and stock award programs, as applicable.
Hiring process
Applications are reviewed on a rolling basis.
Applications should be submitted by February 28, 2026; the position may close early depending on application volume or candidate selection.
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