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# Data Scientist - AI & Predictive Analytics

- **Company:** Western Digital Corporation
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $140,300.0 - $187,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bioinformatics, Computer Engineering, Data Visualization, Hard Disk Drives, Firmware, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, NoSQL, Ruby, Software Engineering, SQL Databases, Web Applications, Diagnostic Tools, Data Analytics, Data Management, Front End Software Development, Code Restructuring
- **Published:** August 10, 2026
- **Apply:** https://jobs.smartrecruiters.com/WesternDigital/744000142947679-data-scientist-ai-predictive-analytics

## About the Role

Currently pursuing or recently completed a Ph.D. Computer Science, Data Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related engineering discipline

Required Technical Skills

 * Python (required)
 * Machine learning
 * Data analytics
 * Statistical analysis
 * SQL or NoSQL databases
 * Analytical problem solving
 * Software development fundamentals
 * Engineering mindset

Preferred:

 * Hadoop
 * Hive
 * Ruby
 * Front-end development
 * Web applications
 * Data visualization
 * Interest in storage systems and HDD technology

## Description

As an Engineering Data Scientist, you'll work alongside software engineers, hardware engineers, and data scientists to develop predictive diagnostic technologies for enterprise hard disk drives deployed in hyperscale cloud environments.

You'll help transform more than 10 TB of manufacturing and telemetry data generated each day into intelligent systems that improve storage reliability and customer uptime.

Your work may include:

 * Building machine learning models that identify early indicators of drive degradation.
 * Developing automated diagnostic algorithms using Python.
 * Analyzing large-scale telemetry from enterprise storage systems.
 * Creating data visualization and engineering analysis tools.
 * Supporting root cause investigations using statistical analysis.
 * Improving existing diagnostic software through automation and code refactoring.
 * Collaborating with engineering teams across hardware, firmware, and software disciplines.
 * Deploying predictive analytics solutions into production environments.

Why This Role Is Different

Most entry-level data science positions focus on dashboards, reporting, or business analytics.

This role is different.

You'll use machine learning and engineering principles to solve complex technical problems that improve the reliability of storage systems supporting some of the world's largest cloud environments.

You'll write production software.

You'll automate engineering decisions.

You'll build predictive technologies that help customers avoid downtime before failures occur., WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our
non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal" poster. Our pay transparency policy is available here.

WD 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.

WD 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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