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.