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

Applied Materials•Santa Clara, CA

About The Position

Applied Materials is hiring a new college graduate Industrial Engineer for its internal consulting team, which works closely with Applied Global Services executive leadership. The role leads strategic projects to streamline business processes, improve supply chain and operations, reduce costs, and improve business performance. The position spans the full project life cycle: analyzing current processes, identifying and quantifying opportunities, developing improvement plans, securing stakeholder buy-in, and driving implementation. It offers the opportunity to affect a $6 billion business with thousands of field engineers, a complex global logistics network, and a wide range of products and services. The engineer structures complex business problems, performs data-driven analysis, develops recommendations, and collaborates with cross-functional stakeholders to accelerate execution and unlock value. The role uses statistical and machine-learning methods, data mining, and Power BI to analyze data, build models, create reports and visualizations, and operationalize analytic solutions. It also includes developing training materials and administering end-user training with generative AI tools. This role requires motivating change and communicating complex findings effectively. Travel is 20% of the time, and relocation is eligible.

Requirements

Master's degree in Industrial Engineering, Computer Science, or equivalent.
One to three years of relevant work experience.
Broad understanding and experience in logistics, financial reporting, purchasing, and service business management.
Strong analytical skills and ability to extract insights from multiple data sources.
Experience using statistical programming languages such as Python and SQL to manipulate data and derive insights from large data sets.
Knowledge of machine-learning techniques, including clustering, decision-tree learning, and neural networks, and their applications.
Knowledge of advanced statistical methods and concepts, including regression, distributions, and statistical tests, and experience applying them.
Excellent oral and written communication, organizational, analytical, and interpersonal skills.
Ability to work effectively in a matrix environment and influence others.
Detail orientation and ability to connect information and communicate complex ideas effectively.
Knowledge of Lean / Six Sigma.

Nice To Haves

GPA of 3.0 or above.
Relevant work experience in the semiconductor industry or consulting.

Responsibilities

Structure complex business problems, develop hypotheses, perform analysis, and deliver data-driven recommendations.
Lead rigorous analysis of large data sets and synthesize insights and opportunities.
Collaborate with cross-functional stakeholders to gather information, test hypotheses, co-create deliverables, accelerate execution, and unlock value.
Optimize operations and business processes to improve performance, reduce cycle time, and lower costs.
Use statistical data analysis and tools to identify, analyze, and interpret patterns and trends, and build diagnostic and predictive models.
Develop and use algorithms and models to mine large data stores; conduct data and error analysis, improve models, and clean and validate data.
Create Power BI mockups, prototypes, reports, and applications using best practices.
Communicate analytic solutions to stakeholders and implement improvements to operationalize systems.
Create training materials and administer end-user training using generative AI models and tools.
Design, develop, and deploy interactive data visualizations using Power BI.