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Staff Data Scientist, Applied Research, Search Platforms

A global technology company that specializes in internet-related services and products.
$197,000 - $291,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Job Description

Google is seeking a Staff Data Scientist to join their Search Platform Data Science team, focusing on understanding and measuring Search systems, including Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality, and Search Infrastructure. This role combines advanced analytics with strategic system-level optimization, requiring collaboration across Search verticals, horizontal teams, and SREs.

The position offers an opportunity to make a direct impact on Google Search, which serves billions of users globally. The ideal candidate will possess strong analytical capabilities, with expertise in statistical modeling, experimental design, and data analysis. They will work on defining and developing system metrics to understand the effectiveness and efficiency of Search systems and their interactions.

The role requires both technical excellence and strong communication skills, as the Staff Data Scientist will need to extract insights from complex data sets and present convincing stories to stakeholders. Working in Google's Search team means tackling complex engineering challenges while maintaining a universally accessible and useful experience.

The compensation package is competitive, with a base salary range of $197,000-$291,000, plus bonus, equity, and comprehensive benefits. The position offers the flexibility to work from either Mountain View, CA, or Cambridge, MA, providing opportunities to collaborate with some of the brightest minds in the industry while working on products that impact billions of users.

This role represents a unique opportunity to combine advanced data science expertise with real-world impact at scale, working on one of the world's most widely-used products. The successful candidate will help shape the future of search technology while working in a collaborative, innovative environment that values diversity and inclusion.

Last updated 3 days ago

Responsibilities For Staff Data Scientist, Applied Research, Search Platforms

  • Work with large, complex data sets and solve difficult, non-routine analysis problems
  • Build and prototype analysis pipelines iteratively to provide insights at scale
  • Interact cross-functionally with various teams and work closely with engineers
  • Make business recommendations with effective presentations of findings
  • Research and develop analysis, forecasting, and optimization methods

Requirements For Staff Data Scientist, Applied Research, Search Platforms

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree
  • Experience with statistical modeling, survey design, data analysis, and experimental design
  • Ability to complete project work separately and work with cross-functional teams
  • Ability to apply statistical training to real-world data
  • Excellent communication skills

Benefits For Staff Data Scientist, Applied Research, Search Platforms

Equity
Medical Insurance
  • Equity
  • Medical Insurance

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