Engineer, Product Design Engineering

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:

• Apply statistical techniques and data visualization tools to analyze data sets and extract meaningful insights.
• Interpret the results of data analysis and translate them into actionable recommendations for stakeholders.
• Develop and implement statistical\ML models and algorithms to solve specific business problems or make predictions.
• Create and maintain optimal data pipeline architecture and tools for internal process improvements which include automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Machine Learning Modeling: Develop, train, and evaluate machine learning models using algorithms such as regression, classification, clustering, and deep learning.
• Perform other duties as assigned.

Qualifications

REQUIRED:

• Bachelor's Degree or higher in Computer Science, Statistics, Informatics, Information Systems, engineering or equivalent fields.
• At least 1 years of relevant experience.
• Data analysts need strong analytical skills to interpret complex data sets and extract meaningful insights. This includes the ability to identify trends, patterns, and correlations within the data.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data platforms, esp. MySQL, PostgreSQL and MSSQL.
• Proficiency in programming languages commonly used in data science such as Python. Additionally, proficiency in using data science tools and frameworks.

SKILLS:

• Strong written and verbal communication in English
• Strong project management and organizational skills. Able to work and communicate well with cross-functional teams in a dynamic 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 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.