Data Scientist, Research, Storage Analytics

Google is a global technology company that provides a wide range of internet-related services and products.
$150,000 - $223,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Data Scientist, Research, Storage Analytics

Google is seeking a Data Scientist to join their Storage Analytics team, focusing on optimizing storage systems through data-driven insights and mathematical modeling. This role combines technical expertise in data analysis with strategic thinking to improve Google's storage infrastructure.

The position requires a strong quantitative background with a Master's degree and significant experience in statistical analysis and project management. You'll work at the intersection of data science and engineering, using tools like SQL, Python, and R to extract insights and build probabilistic models.

As a Data Scientist at Google, you'll collaborate with engineering teams to optimize storage systems, ensuring they meet evolving user demands through resource abstraction and algorithmic optimizations. The role involves both technical depth in data analysis and the ability to communicate findings to executive leadership.

The compensation package is competitive, ranging from $150,000 to $223,000 base salary, plus bonus, equity, and comprehensive benefits. You'll be working from either New York or Sunnyvale, joining a dynamic team that values innovation and technical excellence.

This is an excellent opportunity for a mid-level professional who wants to impact Google's infrastructure at scale. You'll be part of a team that values diversity, inclusion, and equal opportunity, working in an environment that encourages collaboration and technical innovation.

The ideal candidate will bring experience in statistical analysis, data mining, and project management, combined with strong communication skills to work effectively across teams. You'll be responsible for gathering and analyzing data, building models, and providing strategic insights that drive improvements in Google's storage systems.

If you're passionate about using data science to solve complex problems, have a strong technical background, and want to work with cutting-edge technology at a global scale, this role offers the perfect opportunity to advance your career while making a significant impact on Google's infrastructure.

Last updated 23 days ago

Responsibilities For Data Scientist, Research, Storage Analytics

  • Work with Engineering teams and other Data Scientist to provide strategic insights and direction, build probabilistic models of the systems, and compare those models with production to identify opportunities
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent
  • Gather information, business goals, priorities, and organizational context, as well as the existing and upcoming data infrastructure
  • Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python)

Requirements For Data Scientist, Research, Storage Analytics

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL)
  • 3 years of experience managing analytical projects
  • 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products
  • 3 years of experience working in a changing organization
  • 1 year of experience preparing and delivering technical presentations to executive leadership

Benefits For Data Scientist, Research, Storage Analytics

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • bonus
  • equity
  • comprehensive benefits

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