Principle Engineer - Data Analytic Manufacturing Engineering

6 Minutes ago • 5 Years + • Data Analysis

Job Summary

Job Description

The Principal Engineer for Data Analytics in HGA Manufacturing Engineering will lead data-driven initiatives to optimize manufacturing processes, improve quality, and enhance efficiency. This role involves developing and implementing advanced analytics strategies, interpreting complex data sets, and providing actionable insights to support decision-making in HGA manufacturing. Key responsibilities include designing custom software tools, analyzing production data for trends and anomalies, creating predictive models, and leading cross-functional data analytics projects to improve yield and reduce waste.
Must have:
  • Lead data-driven initiatives to optimize manufacturing processes, improve quality, and enhance efficiency.
  • Develop and implement advanced analytics strategies.
  • Interpret complex data sets and provide actionable insights.
  • Design, develop, and implement custom software tools and applications for data analytics.
  • Analyze production data to identify trends, patterns, and anomalies.
  • Create predictive models to forecast manufacturing outcomes.
  • Lead cross-functional data analytics projects.
  • Develop and implement process improvements and data-driven solutions.
  • Lead root cause analysis of manufacturing issues using statistical techniques.
  • Bachelor’s degree or higher in Software Engineering, Data Science, Computer Science/Engineering, or a related field.
  • 5+ Years experience in data science, data analytic or related field.
  • Knowledge of software development languages (Python/R coding, Java, C++), database management (SQL, NoSQL), data analytics tools, and data visualization platforms.
Good to have:
  • Eager on learning and self-development.
  • Experience in electronics or HDD industry.
Perks:
  • Inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
  • Opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process.

Job Details

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

The Principal Engineer for Data Analytics in HGA Manufacturing Engineering will lead data-driven initiatives to optimize manufacturing processes, improve quality, and enhance efficiency within HGA production. This role is crucial for developing and implementing advanced analytics strategies, interpreting complex data sets, and providing actionable insights to support decision-making in HGA manufacturing.

  • As an expert on data analytic for HGA operation to support since ad hoc data gathering, data analysis, data visualization and create effective data analysis platform for fast and precise responding to special and routine requirement
  • Design, develop, and implement custom software tools and applications for data analytics strategies that align with HGA manufacturing goals and key performance indicators (KPIs).
  • Collaborate with engineering and production teams to define software requirements, user interfaces, and functionalities tailored to manufacturing needs.
  • Analyze production data to identify trends, patterns, and anomalies that impact HGA yield, quality, and cycle time including defect and failure data to identify and mitigate recurring issues.
  • Create predictive models to forecast manufacturing outcomes and provide proactive recommendations for process adjustments.
  • Lead cross-functional data analytics projects from conception through to implementation, ensuring alignment with manufacturing engineering and business goals.
  • Develop and implement process improvements and data-driven solutions to optimize manufacturing yield, reduce waste, and increase efficiency.
  • Lead root cause analysis of manufacturing issues using statistical techniques with actionable insights to engineering and production teams.

Qualifications

REQUIRED:

  • Bachelor’s degree or higher in Software Engineering, Data Science, Computer Science/Engineering, or a related field
  • 5+ Years experience in data science, data analytic or related field
  • Knowledge on software development languages (Python/R coding, Java, C++), database management (SQL, NoSQL), data analytics tools, and data visualization platforms.

PREFERRED:

  • Eager on learning and self-development
  • Experience in electronics or HDD industry

SKILLS:

  • Project management abilities,
  • Problem-solving,
  • Cross-functional collaboration

Additional Information

Western Digital 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.

Western Digital 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

#LI-SW1

Western Digital 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.

Western Digital 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.

Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email compliance@wdc.com.

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