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SanDisk Corporation

Staff Engineer, Industrial Engineering

SanDisk Corporation - Milpitas, CA

Staff Engineer, Industrial Engineering




Western Digital

We deliver the possibilities of data. YOU define what's possible.

Supply Chain Analytics Center of Excellence (ACOE) team at Western Digital Corporation improves the supply chain performance by using data science and advanced analytics. As part of the Supply Chain Innovations group, ACOE develops, implements, and deploys quantitative models to optimize all aspects of the WDC supply chain, including but not limited to capacity planning, supply planning, demand planning, factory scheduling, and pricing.

The past focus of ACOE is on predictive and prescriptive analytics. The models developed are then implemented and deployed in an ongoing basis at WDC, contributing substantial benefits to the company, either in the form of monetary savings or productivity enhancement.


Conduct quantitative modeling to provide solutions to new business problems

Deploy and improve optimization and/or simulation models owned by ACOE

Work with cross-functional teams to gather business requirements, implement model recommendations, and drive change management

Synthesize and present findings to all levels of management



Education: PhD in Operations Research, Industrial Engineering, Statistics, Economics, Operations Management, or a quantitative field (such as Electrical Engineering and Mechanical Engineering). Or, MS in a related field with quantitative research experience.

Mastery of at least one programming language (Matlab, C, Java, or similar)


Proven programming skills to implement models from scratch (in Matlab, C, Java, or similar)

Proven knowledge of mathematical optimization (Linear/Non-Linear/Mixed-Integer Programming and solution techniques)

Deep understanding of basic statistical concepts and principles, such as regression and hypothesis testing, and simulation techniques, such as Monte-Carlo methods

Good understanding of machine learning algorithms, including a broad array of supervised learning, unsupervised learning, and reinforcement learning techniques

Experience with implementing scalable machine learning models on big data platforms


Hands-on experience with statistical software (SAS, R, or similar)

Experience with object-oriented programming (Python, C , Java, etc.) is a plus

Proven ability to develop analytical models to solve business problems

Knowledge of supply chain management concepts

Ability to communicate effectively with cross-functional teams

Ability to both collaborate with cross-functional teams, as well as to work independently with minimal supervision

At the forefront of flash memory storage, industry-leading SanDisk-branded integrated and embedded solutions deliver the possibilities of data for data centers and mobile devices, enabling fast and reliable data access. SanDisk, WD, HGST and G-Technology brands position Western Digital as the world’s largest data storage company and flash memory leader.

Western Digital is an equal opportunity employer. We are committed to providing equal employment opportunity for all applicants and employees. Western Digital does not unlawfully discriminate and complies with the laws and regulations set forth in the following EEO Is The Law poster: Equal Employment Opportunity Is The Law at .

Western Digital participates in the E-Verify program in the US. For more information click here at


Poster-English.pdf . Este empleador participa in E-Verify at


Poster-Spanish.pdf .

Posting Notes:United States (US) || Operations ||Experienced ||Milpitas, CA ||[[custInternType]] ||.||

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18 days 19 hours ago

SanDisk Corporation


Staff Engineer, Industrial Engineering SanDisk Corporation - Milpitas, CA, United States


Location: Milpitas, CA

Company Profile:
The world of digital content grows exponentially every day. From mobile devices to data centers, SanDisk delivers the peace of mind that data is readily available and reliable, even in the most challenging environments. It's all part of delivering on our mission to enrich people's lives through digital storage anytime, anywhere. Since 1988, companies and consumers around the world have counted on our storage solutions in many areas, including: