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Senior Data Scientist, Research, Storage Analytics

A leading technology company that specializes in internet-related services and products.
$166,000 - $244,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Scientist, Research, Storage Analytics

Google's Storage Analytics team is seeking a Senior Data Scientist to join their mission of measuring, analyzing, and optimizing the cost, reliability, and performance of Google's Storage stack. This role combines deep technical expertise with strategic thinking to improve Google's infrastructure storage systems. You'll work with massive datasets to build probabilistic models, identify system inefficiencies, and propose architectural improvements. The position requires strong analytical skills, expertise in statistical analysis, and the ability to translate complex technical findings into actionable insights. You'll collaborate with engineering partners and engage in research with academic institutions and industrial vendors. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. This is an excellent opportunity for quantitative experts who want to impact Google's core infrastructure while working with cutting-edge storage technologies and analytics.

Last updated a day ago

Responsibilities For Senior Data Scientist, Research, Storage Analytics

  • Work with Engineering partners, and within the Analytics team, and strategic and tactical optimizations to the storage systems
  • Work with complex data sets, and perform non-standard analysis
  • Build probabilistic models of our systems, compare those models with production to identify opportunities and communicate understanding

Requirements For Senior Data Scientist, Research, Storage Analytics

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree
  • Experience working with large data sets
  • Experience with optimization
  • Ability to select the right statistical tools given a data analysis problem

Benefits For Senior Data Scientist, Research, Storage Analytics

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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