Staff Data Scientist, Measurement Methodology Innovation
Google· Google
Remote$207k - $300kFull-timePosted 3w ago
About the role
Staff Data Scientist role focusing on measurement technology and automated evaluation platforms within Google Search Quality. Develops synthetic modeling techniques, LLM-based pipelines, and backtest validation frameworks to accelerate product quality evaluation.
Responsibilities
- Pioneer novel generative modeling and simulation techniques, translating multimodal data and behavioral signals into high-fidelity synthetic evaluation frameworks.
- Architect and iterate on next-generation LLM-based pipelines, building scalable predictive engines to model complex cognitive dynamics, sentiment, and latent user behaviors.
- Design and execute rigorous validation paradigms, establishing backtesting frameworks against historical benchmarks to verify simulation fidelity and predictive precision.
- Drive cross-functional innovation with engineering, research, and product teams to integrate automated evaluation platforms into the core experimentation lifecycle.
- Conduct advanced analytical and statistical investigations on large-scale discovery environments, developing new methodologies to accelerate product quality measurement and algorithmic iteration.
Qualifications
- 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.
Skills
Required:AnalyticsPythonSQL
Nice to have:R
Benefits
- Learn more about benefits at Google (link provided in description)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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