Staff Data Scientist, Measurement Methodology Innovation
New York, NY, USA +1 · Staff · Full-time · Posted Oct 1, 2026
- Location
- New York, NY, USA
Mountain View, CA, USA - Experience
- 8 years of relevant work experience, or 6 years with a PhD; preferred: 10 years, or 8 years with a PhD.
- Education
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
About the job
Develops measurement methods and automated evaluation platforms for Google Search quality, using synthetic modeling and LLM-based predictive systems.
What you'll do
- Develop generative modeling and simulation techniques that turn multimodal data and behavioral signals into synthetic evaluations.
- Build LLM-based pipelines and predictive engines, and validate them against historical benchmarks.
- Work with engineering, research, and product teams to integrate automated evaluation into experimentation and improve product quality measurement.
What they ask for
- Master's degree in a listed quantitative field or a related quantitative field.
- 8 years of relevant work experience, or 6 years with a PhD.
- Experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
Nice to have
- 10 years of relevant work experience, or 8 years with a PhD.
- Applied experience with machine learning on large datasets.
Pay
$207000 - $300000 USD base salary
Tools
Large Language Model (LLM), Python, R, SQL
AI focus
Develops synthetic modeling and simulation methods, LLM-based evaluation pipelines, and predictive scoring engines to model user behaviors and assess Search product quality.
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