Data Scientist – AI & Predictive Analytics

140,300.00-187,000.00 Business Function: Data Engineering Work Location: San Jose Great Oaks Headquarters--LOC_WDT_USCA23 Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.

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 Additional Information 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