Platform Analytics Engineer, Hyperscale Line of Business

The role

You will lead hardware and systems analytics initiatives by transforming telemetry from FlashArray and FlashBlade into predictive models and strategic metrics. You will apply statistical and quantitative research methods to platform and time-series data to support engineering and leadership decisions.

What you will do

• Develop ML models for predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems.
• Apply advanced computational methods and statistical techniques to massive datasets.
• Create executive-level visual analytics.
• Partner with Product, Engineering, and Business leaders to translate findings into strategy.

Required qualifications

• Master's degree (MS) or Ph.D. in Computational Methods, Physical Science, Statistics, Applied Mathematics, Data Science, or a related quantitative discipline.
• 5 to 8+ years applying machine learning, statistical modeling, and quantitative research.
• Proven track record in quantitative research methodologies and experimental design.
• Publications or presentations of scientific or computational research, or patents.
• Advanced proficiency in Python and SQL.
• Hands-on experience with ML and statistics libraries such as Scikit-Learn, TensorFlow/Keras, PyTorch, Pandas, and Statsmodels.

Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events

About the company

Everpure (NYSE: P) is a data platform that closed fiscal 2026 with $3.7 billion in revenue. Its strategic agenda spans hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.