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9 дней назад

Industrial Engineer, New College Grad- Master's (Santa Clara, CA)

90 000 - 124 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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