Staff Data Scientist, Research, Applied Research

Google is a global technology company that provides internet-related services and products, including search, cloud computing, software, and hardware.
$177,000 - $266,000
Data
Staff Software Engineer
In-Person
5000+ Employees
8+ years of experience
AI · Enterprise SaaS
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Description For Staff Data Scientist, Research, Applied Research

Google is seeking a Staff Data Scientist to join their Research and Applied Research team, focusing on developing metrics, methodologies, and tools for Search and Commerce initiatives. This role offers an opportunity to impact billions of users globally through Google Search innovation. The position requires extensive experience in analytics, coding, and experimentation design, with a strong quantitative background. You'll work on complex engineering challenges while maintaining Google's universally accessible search experience. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. You'll collaborate with cross-functional teams, design mathematical models, and lead data-driven decision-making processes. This position combines technical expertise with strategic thinking to advance Google's search capabilities and commerce solutions. The ideal candidate will have advanced education in a quantitative field and proven experience in data science and experimentation.

Last updated 3 months ago

Responsibilities For Staff Data Scientist, Research, Applied Research

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions
  • Use custom data infrastructure or existing data models, design and evaluate models to mathematically express and solve defined problems
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools

Requirements For Staff Data Scientist, Research, Applied Research

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent experience
  • 8 years of work experience using analytics to solve product or business problems, coding, querying databases or statistical analysis, or 6 years with PhD
  • 3 years of work experience in end-user facing experimentation design

Benefits For Staff Data Scientist, Research, Applied Research

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

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