Staff Engineer, Data Analytics Engineering

Details of the offer

Full-time
Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
Business Function: Data Analytics Engineering
Company DescriptionAt 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 DescriptionDevelop and Maintain Data Analytics Tools:
Design and develop software applications for data collection, processing, analysis, and visualization.
Integrate various manufacturing and testing equipment with our data systems to automate data capture.
Data Processing and Analysis:
Implement algorithms to process and analyze large datasets to identify trends, anomalies, and efficiency opportunities.
Develop machine learning models to predict machine failures and optimize manufacturing processes.
Collaboration and Continuous Improvement:
Work closely with manufacturing engineers to understand their data needs and provide technical solutions.
Continuously explore new technologies and methodologies to improve existing systems and processes.
Reporting and Visualization:
Create dashboards and reports to visualize key manufacturing metrics and insights.
Ensure accurate and timely delivery of data to stakeholders.
Quality Assurance and Documentation:
Ensure the integrity and reliability of data analytics software.
Document code, processes, and methodologies for knowledge sharing.
Cross-functional Teamwork:
Collaborate with IT and operational teams to integrate software solutions into the broader company ecosystem.
Participate in cross-functional teams to support broader organizational goals.
QualificationsBachelor's/Master's degree in Computer Science/Engineering, data science or related field
2-5 years of experience in software development
Experience in programming language (python, R) and database (SQL) to perform data mining and analysis.
Knowledge of statistical techniques in data science (regression, properties of distribution)
Knowledge in machine learning techniques (neural network, machine learning)
Strong analytic skills and problem-solving skills.
Additional InformationWestern 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 ****** 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.#J-18808-Ljbffr


Nominal Salary: To be agreed

Job Function:

Requirements

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