Find a jobRecruiters

Data Scientist Engineer

Exclusive opportunity

Onsite

Data Scientist Engineer

Pure Storage

Data Scientist Engineer

Skills

SQL QueriesPythonData SciencepandasKerasPyTorchTensorFlowData AnalysisMachine Learning

8 days ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Salary:

$217,000 – $326,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

16 October 2026

What they need


Who you are

  • 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

What the job involves

  • As a Data Scientist on the Digital Experience Insights team, you'll lead high-impact analytics initiatives, turning complex data, platform, and time-series data into rigorous predictive models, causal inferences, and strategic product metrics.
  • You'll also apply advanced statistical and quantitative research methods to some of our most complex datasets, but the core of the role is turning that analysis into decisions leadership can act on.
  • This role sits within a fast-moving analytics organization where the specific problems shift over time, so we're looking for someone with strong research rigor who can adapt it to whatever question is in front of them
  • 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

Other offers great for you!

These companies are also looking for great profiles

Yunik

Lead Data Scientist Transverse – Tech Lead Data Science & IA

Freelance

Paris, France

Hybrid

Skills

LLMs / Large language modelsPythonData ScienceMachine LearningIA GénérativeRAGAgentic AISQLGCPVertex AIMLOps

6 days ago

Quick apply

Yunik

Data Scientist Senior – Marketing Analytics & Attribution

Freelance

Paris, France

Hybrid

Skills

PythonData ScienceMachine LearningMarketing AnalyticsAttribution Multi-Touch (MTA)SQLPiano Analytics

9 hours ago

Quick apply

Ever-T

PMO IA & Data Science

Freelance

Paris, France

Hybrid

Skills

AIPMO

6 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools