Analyst 4, Data Analytics

  • Full-time
  • Business Function: Data Analytics
  • Work Location: Penang SDSM Office--LOC_SNDK_Seberang Perai Office

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

Advanced Analytics Office (AAO) is looking for an engineer with prior experience in data analytics and  electronics/ computer hardware manufacturing industry to expand their team. Selected candidate will work as part of the Solutions Management team, responsible for executing Rapid Learning Cycle (RLC) data science projects. The ideal candidate should have an end-to-end understanding on manufacturing operations, process engineering, test process and a proven track record in deploying Statistical, Machine Learning and Artificial Intelligence solutions in a factory setting. This is a unique opportunity for someone with a desire to excel in a fast-paced, high-tech manufacturing operation and play a critical role in high business impact projects.

Qualifications

  • Candidate must have at least a Bachelor’s Degree in Engineering or Science with ~5 years work experience or a Graduate Degree with ~3 years work experience.
  • Must have at least 2 years work experience in computer hardware/ electronics manufacturing industry and a intuition on how advanced data analytics can help reduce process variability, optimize yield and improve outgoing quality & reliability.
  • Strong understanding & hands-on experience in statistical data analysis, AI & ML techniques (e.g., supervised and unsupervised modeling, Deep Learning, CNN, NLP, Time-series analysis) and common data analytics tools (e.g., Python, R, Tensorflow etc).
  • Ability to perform ETL (Extract, Transform & Load) to prepare large data-sets required for RLC projects – develop repeatable and reusable ETL scripts that can be productized as needed to enhance engineering efficiency.
  • Experience with Database Technologies (SQL/NoSQL), Big Data Technologies (Hadoop, Hive, Spark) and Cloud Technologies (AWS, GCP).
  • Strong communication, problem solving and critical thinking skills.
  • Positive attitude towards learning on-the-job and strive in a rapidly changing environment.

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 [email protected] 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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