Data Scientist – AI & Predictive Analytics

Short Summary

Data Scientist – AI & Predictive Analytics with Western Digital. 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…

Key Details

• Position / opportunity: Data Scientist – AI & Predictive Analytics
• Organization: Western Digital
• Country / coverage: United States
• Location: San Jose, CA, United States
• Work arrangement: On-site
• Opportunity type: Jobs
• Sector: Health
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-11
• Application deadline: Not specified

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. This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career. Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0–2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply. 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 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…

Responsibilities

• 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.

Requirements / Eligibility

• s Engineering mindset Preferred : Hadoop Hive Ruby Front-end development Web applications Data visualization Interest in storage systems and HDD technology WD is committed to providing equal opportunities to all applicants and employees and will not…
• 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.

How To Apply

Use the Apply now button and follow the instructions on the application page.