Staff Data Scientist: Measurement Innovation & Evaluation

Google LLC; New York, Mountain View (NY, CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC is seeking a Staff Data Scientist for Measurement Methodology Innovation in New York. This role focuses on building automated evaluation platforms, synthetic modeling, and LLM-based predictive engines to quantify and improve search quality at scale.

The position emphasizes rigorous validation, cross‑functional collaboration with engineering and product teams, and the ability to translate complex analyses into concrete business recommendations.

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 with coding (Python, R, SQL) or 6+ years with a PhD.
• Proven ability to translate analyses into business impact and actionable recommendations.

Responsibilities

• Pioneer novel generative modeling and simulation techniques translating multimodal data into synthetic evaluation frameworks.
• Architect and iterate on next‑generation LLM-based pipelines to model cognitive dynamics and user behaviors.
• Design and execute rigorous validation paradigms and backtesting against historical benchmarks.
• Drive cross‑functional collaboration to integrate automated evaluation platforms into the experimentation lifecycle.
• Conduct advanced analytics on large-scale discovery environments to accelerate product quality measurement and algorithmic iteration.

Skills

Analytics

Python

R

SQL

Education

Master's degree

PhD

Job description

Google LLC is seeking a Staff Data Scientist for Measurement Methodology Innovation in New York. This role focuses on building automated evaluation platforms, synthetic modeling, and LLM-based predictive engines to quantify and improve search quality at scale.

The position emphasizes rigorous validation, cross‑functional collaboration with engineering and product teams, and the ability to translate complex analyses into concrete business recommendations.