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Industrial Engineering Intern @ SHEIN

USOnsiteFull-timeJob reference USA63979306
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About this role

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. Job Responsibilities Key Responsibilities:  Conduct time studies, workflow analysis, and process mapping to identify inefficiencies and bottlenecks in warehouse operations.  Use data analysis and statistical methods to develop solutions for improving process flow, labor utilization, and overall operational performance.  Assist in tracking and analyzing product performance metrics to drive decision-making and continuous improvement.  Collaborate with operational teams to implement and test process changes, ensuring seamless integration and minimal disruption to daily operations.  Drive projects focused on cost reduction, space optimization, labor productivity, and quality improvement within the warehouse environment.  Utilize engineering principles and tools to design and implement systems that enhance safety, ergonomics, and overall working conditions for warehouse associates.  Participate in market research and competitive analysis to identify opportunities for product improvement.  Generate reports, presentations, and documentation to communicate project findings, progress, and recommendations to stakeholders at various levels.  Participate in cross-functional initiatives and continuous improvement projects to support the overall growth and success of SHEIN’s operations.

Job Requirements  Master’s above degree in a relevant field such as Engineering, Business, Operational Research, or Computer Science.  5+ years of experience in robotic analysis operational research, or a related field  Strong analytical and problem-solving skills with a data-driven approach.  Understanding of agile methodologies and product development concepts.  Proficiency in data analysis tools such as Excel, SQL, and statistical software.  Excellent communication and collaboration skills to work effectively with diverse teams.  Ability to thrive in a fast-paced, dynamic environment with a focus on innovation and continuous improvement.  Familiarity with warehouse management systems (WMS) is a plus.

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