Staff Engineer, Industrial Engineering

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Responsibilities:

• Gather and manage data from various sources related to inventory and supply chain.
• Develop and implement statistical models and techniques to solve complex problems.
• Apply statistical methodologies to analyze inventory data and identify trends and patterns.
• Develop predictive models to forecast inventory needs based on historical data and market trends.
• Review current safety stock models and Inventory Optimization Models and suggest other techniques that are available with use cases
• Utilize inventory management software and statistical tools (e.g., R, SAS, SPSS) to track and analyze data.
• Interpret and present data findings to stakeholders through reports and presentations.
• Collaborate with cross-functional teams to provide statistical insights and recommendations.

REQUIRED

• Master's degree in Statistics, Mathematics, Economics, Supply Chain or a related field.
• Proven experience in statistical analysis and data interpretation in areas specific to Safety stock and Inventory Optimization

SKILLS

• Proficiency in statistical software such as R, SAS, or SPSS.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Continuous learning mindset to stay updated with the latest statistical methods and tools.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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