Staff Engineer, Industrial Engineering

Employment Type

: Full-Time

Industry

: Engineering



Western Digital

The next big thing in data is you!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 on an ongoing basis at WDC, contributing substantial benefits to the company, either in the form of monetary savings or productivity enhancement.
The future focus of ACOE is on cognitive analytics. This is to deploy machine learning algorithms on the big data platform at WDC to end value network so that the company can take proactive actions to match supply with demand. This is in line with the digital supply chain initiative ongoing at Western Digital—that is, incorporating outside-in data from customer value chain to our supply chain analytics, towards the end goal of positioning products when and where the customer needs it before even requested by the customer.

 A few examples of the analytics models developed by ACOE include: 

  • Insource versus outsource manufacturing split optimization: optimize for the best split between insource and outsource manufacturing capacity
  • Price prediction: forecast prices using multiple regression on internal and external demand signals and market momentum factors
  •  Factory scheduling: develop an optimization engine to schedule which machine to work on which product in the factory production floor to minimizing delay, cycle time, and changeovers
  • Factory simulation: develop a simulation model for the factory to optimize for capacity buffer and inventory buffer to keep for each equipment 
  • ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • 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 

  • REQUIRED:

  • 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)
  • PREFERRED:

  • 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
  • SKILLS:

  • 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 
  • ABOUT WESTERN DIGITAL®  The future. It’s on you. You & Western Digital.We’ve been storing the world’s data for more than 50 years. Once, storage was the most important thing we could do for data. Now, we’re helping the world capture, preserve, access and transform data in a way only we can.The most game-changing companies, consumers, professionals, and government organizations come to us for the technologies and solutions needed to bring meaning and value to their ever-increasing diversity of data.But we can’t do it alone. Today’s exceptional data challenges require your unique skills. You can be the next big thing in data. Western Digital® data-centric solutions are comprised of the Western Digital, G-Technology™, SanDisk® and WD® brands.

    WesternDigital is an equal opportunity employer.

    WesternDigital does not discriminate on the basis of race, color, ancestry, religion(including religious dress and grooming standards), sex (including pregnancy,childbirth or related medical conditions, breastfeeding or related medicalconditions), gender (including a person’s gender identity, gender expression,and gender-related appearance and behavior, whether or not stereotypicallyassociated with the person’s assigned sex at birth), age, national origin,sexual orientation, medical condition, marital status (including domesticpartnership status), physical disability, mental disability, medical condition,genetic information, protected medical and family care leave, Civil Air Patrolstatus, military and veteran status, or other legally protectedcharacteristics. We also prohibit harassment of any individual on any of thecharacteristics listed above. Our non-discrimination policy applies to allaspects of employment. We comply with the laws and regulations set forth in the.

    Western Digitalparticipates in the E-Verify program in the US. For more informationclick . .



    * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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