Data Scientist: AI & Predictive Analytics for Storage

Western Digital; San Jose (CA); On-site; USD 140,000 - 187,000; Full time

Benefits offered by this job

Paid vacation

Medical/dental/vision insurance

401(k) plan

Tuition reimbursement

Job summary

Western Digital is recruiting a Data Scientist for AI & Predictive Analytics within its Engineering Data Scientist track in California. The role focuses on building predictive diagnostics for enterprise HDDs in hyperscale environments and transforming terabytes of telemetry data into actionable insights.

You'll work with software, hardware, and data science teams to productionize models, analyze telemetry, and develop automated diagnostic tools while advancing through WD's early career

Qualifications

• Python (required)
• Machine learning
• Data analytics
• Statistical analysis
• SQL or NoSQL databases
• Analytical problem solving

Responsibilities

• 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.

Skills

Python

Machine learning

Data analytics

Statistical analysis

SQL/NoSQL

Analytical thinking

Education

PhD in CS/DS/Engineering

Tools

Hadoop

Hive

Ruby

Front-end development

Web applications

Job description

Western Digital is recruiting a Data Scientist for AI & Predictive Analytics within its Engineering Data Scientist track in California. The role focuses on building predictive diagnostics for enterprise HDDs in hyperscale environments and transforming terabytes of telemetry data into actionable insights.

You'll work with software, hardware, and data science teams to productionize models, analyze telemetry, and develop automated diagnostic tools while advancing through WD's early career