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Job Description

  • Lead and drive cross-functional development with a wide variety of teams, and work closely with product managers and engineers to identify growth and quality opportunities for the product.
  • Conduct analyses of large-scale datasets, applying statistical methods to solve complex problems, and presenting recommendations to stakeholders. Influence product development, improve user experiences, and drive business outcomes.
  • Drive understanding, evaluate, and develop measurement methodologies for complex GenAI models.

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 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.

Preferred qualifications:

  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
  • 3 years of experience as a people manager within a technical leadership role.
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 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.
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

Location

United States

Job Overview
Job Posted:
3 weeks ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
8+ years

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