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Senior Staff Data Scientist, Workspace AI Foundations

Google
Sunnyvale, USA
Senior · 13+ years experience
Onsite
USD 240000-333000 / year
Discovered 5 days ago
pythonsql

Full Job Posting

Responsibilities

  • Lead horizontal metric and evaluation frameworks that quantify engagement, productivity gains, and end-to-end system quality across GenAI models, agentic tooling, context grounding, and safety.
  • Deliver clear, executive-ready insights and recommendations that guide product roadmaps, organizational transitions, and resource allocation.
  • Work on challenges across behavioral, telemetry, and evaluation datasets to identify user adoption, quality or reliability gaps, latency/cost trade-offs, and new methodologies to improve performance.
  • Define upstream logging and telemetry standards, design scalable data models and ETL pipelines, and build unified semantic layers and self-serve analytics that connect data across Workspace domains.
  • Drive experimentation, observational causal inference, and rigorous model evaluations—leveraging AI models/tools as well as human and automated rating systems.

Minimum qualifications:

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

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