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 enjoys solving complex problems with data, has strong analytical skills, and wants to make a significant impact on Google's infrastructure. The role offers the chance to work on challenging problems at scale while collaborating with world-class engineers and scientists.

You'll be responsible for gathering and analyzing data, building mathematical models, and providing strategic insights that drive decision-making. The position requires someone who can handle both the technical aspects of data science and the soft skills needed for cross-team collaboration and stakeholder management.

Google offers a supportive and inclusive work environment, with a strong commitment to diversity and equal opportunity. You'll have access to cutting-edge resources and the opportunity to work on projects that affect millions of users worldwide.