THE ROLEAs a Data Scientist within the Hyperscale line of business, you'll lead high-impact hardware and systems analytics initiatives, transforming rich telemetry from Everpure's FlashArray and FlashBlade hardware and software into rigorous predictive models, causal insights, and strategic product metrics. You'll apply advanced statistical and quantitative research methods to complex platform and time-series data-not traditional business metrics-to help engineering and leadership understand fleet health, reliability, and performance and make better product and roadmap decisions. The core of the role is turning rigorous analysis into clear, actionable recommendations. You'll work closely with hardware, software, and support teams to connect what our systems do in the field with how we design, test, and improve them. Because the questions evolve in a fast-moving analytics organization, we're looking for someone who brings strong research rigor and adapts it to the problem at hand. You'll join an inclusive, collaborative team that values diverse backgrounds, perspectives, and career paths.
WHAT YOU'LL DO- Advanced Predictive & Statistical Modeling: Develop ML models spanning predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems.
- Quantitative Research: Apply advanced computational methods and statistical techniques, including multilevel models and Statsmodels, to massive datasets.
- Executive Visualization: Create executive-level visual analytics that make complex findings accessible to senior stakeholders.
- Stakeholder Collaboration: Partner directly with Product, Engineering, and Business leaders to translate complex analytical findings into actionable strategy.
- We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING- 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, with 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.
#LI-ONSITE
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
The annual base salary range is:
$180,000-$270,000 USD
WHAT YOU CAN EXPECT FROM US:- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.
