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Pure Storage

Delivers all-flash storage hardware and services

Data Scientist Engineer - Digital Experience

Data ScienceUpdated on Nov 12
Full-timeSanta Clara, CA, USA

About the Job

Requirements

  • A Master's degree (MS) or Ph.D. in Computational Methods, Physical Science, Statistics, Applied Mathematics, Data Science, or a related quantitative discipline is required.
  • Five to eight or more years of experience applying machine learning, statistical modeling, and quantitative research are required.
  • A proven track record in quantitative research methodologies and experimental design is required, demonstrated through publications or presentations of scientific or computational research, or patents.
  • Advanced proficiency in Python and SQL is required.
  • Hands-on experience with machine learning and statistics libraries, including Scikit-Learn, TensorFlow/Keras, PyTorch, Pandas, and Statsmodels, is required.

Responsibilities

  • Develop machine learning models for predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems.
  • Apply advanced computational methods and statistical techniques, including multilevel models and Statsmodels, to massive datasets.
  • Create executive-level visual analytics that make complex findings accessible to senior stakeholders.
  • Partner directly with Product, Engineering, and Business leaders to translate analytical findings into actionable strategy.
  • Work from the Santa Clara office in accordance with company policies, except while on paid time off, work travel, or other approved leave.

About the Company

Pure Storage

Delivers all-flash storage hardware and services

Pure Storage provides data storage solutions including all-flash storage arrays, cloud storage, hybrid cloud, and data protection services. Its products work by using flash memory to deliver fast data access, with Evergreen One offering a subscription-based, continuous update and maintenance model that keeps hardware and software up to date without replacing hardware. The company differentiates itself from competitors through a focus on high-performance all-flash storage, scalable data management, and a subscription-based Evergreen model that sustains ongoing software/firmware updates. Its goal is to help businesses manage, protect, and access their data efficiently at scale with sustainable, environmentally friendly storage solutions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2009

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