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AI Job Summary

Lead research and development of metric frameworks for user engagement and productivity across Gmail, Chat, and Calendar. Evaluate GenAI and agentic tooling effectiveness through new methodologies while serving as strategic liaison between product engineering and data infrastructure teams. Design scalable data models, analytical architecture, and self-serve analytics platforms using Python, R, or SQL. Requires a bachelor's degree in a quantitative field plus ten years of analytics and coding experience, or eight years with a master's degree.

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Job Description

  • Lead the research and development of metric frameworks that quantify user engagement and productivity. Pioneer new methodologies to evaluate the effectiveness, user adoption, and efficiency gains of GenAI and agentic tooling embedded within Workspace products.
  • Act as the strategic connective tissue between product engineering and central data infrastructure teams. Rather than just identifying gaps, you will marshal resources, influence partner roadmaps, and drive complex, multi-team telemetry and infrastructure projects from inception to execution.
  • Design and build scalable data models and analytical architecture that connect data across multiple distinct product domains, ensuring cohesion rather than isolated, product-specific silos. 
  • Scope and drive initiatives to enable self-serve analytics. Design unified semantic layers, governed metric stores, and high-impact executive dashboards, while leading next-generation AI-powered self-serve tooling.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree).

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree).
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  • Role Staff Product Data Scientist, Gmail, Chat, Calendar
  • Experience 8-9 years
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
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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.

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Job Overview

Approx. salary range

209K – 242K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 29 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
6 days ago
Job Type
Full Time
Education
Bachelor Degree
Experience
8-9 years

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