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Staff Data Scientist, Applied Research, Search Platforms

Google is 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 offers an opportunity to make an impact on billions of users globally through Google Search.

The position requires expertise in analytics, statistical modeling, and data analysis, with a focus on developing system metrics to understand the effectiveness and efficiency of Search systems. You'll work closely with Engineering and Product teams on system-level optimizations and collaborate with Search verticals, horizontal teams, and SREs.

The ideal candidate will have advanced quantitative skills, strong programming abilities in languages like Python and SQL, and excellent communication skills. You'll be responsible for analyzing complex data sets, building analysis pipelines, and making data-driven recommendations to improve Google's search products.

This role offers competitive compensation including a base salary range of $197,000-$291,000, plus bonus, equity, and comprehensive benefits. The position is available in either Mountain View, CA or Cambridge, MA, offering the opportunity to work at one of Google's main tech hubs.

As part of Google's Search team, you'll be at the forefront of reimagining what it means to search for information, solving complex engineering challenges while maintaining a universally accessible and useful experience that impacts users worldwide. The role combines technical expertise with strategic thinking, requiring both analytical capabilities and the ability to communicate insights effectively to various stakeholders.

Last updated 6 hours 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 to improve product quality

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
  • Excellent communication skills
  • Ability to work with cross-functional teams in a dynamic environment

Benefits For Staff Data Scientist, Applied Research, Search Platforms

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

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