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# Senior Data Scientist, Search AI Mode

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Encodings, Databases, R (Programming Language), Python (Programming Language), Machine Learning, NumPy, Recommender Systems, SQL Databases, Web Traffics, Reinforcement Learning, Scripting, Pytorch, Large Language Models, Prompt Engineering, Topic Modeling, Generative AI, Pandas, Scikit Learn, Search Engines
- **Published:** August 14, 2026
- **Apply:** https://dejobs.org/x/x/420045BE63AA443098F6546FD4A525AF/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

 * 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
 * Experience in experimental design, causal inference, and A/B testing., * 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.
 * Experience with Generative AI/LLM evaluation, prompt engineering analytics, NLP, embedding-based topic modeling, or reinforcement learning feedback (RLHF/RLAIF) analysis.
 * Experience working on large-scale consumer products, search engines, recommendation systems, or conversational AI interfaces.
 * Strong proficiency in SQL (complex joins, analytical window functions) and scripting in Python (e.g., Pandas, NumPy, Scikit-learn, PyTorch) or R.
 * Deep understanding of multi-sided ecosystem dynamics and long-term user behavior modeling.

## Description

* Define the north star metrics and measurement frameworks for AI Mode (e.g., growth, answer quality, factuality/hallucination rates, task completion, user satisfaction, and long-term engagement).
 * Design, analyze, and interpret large-scale live A/B experiments, search/interaction logs, and offline Side-by-Side (SxS) rater and user feedback for generative AI features, prompt changes, and UI paradigms.
 * Develop statistical, NLP, and machine learning models to cluster query intents, analyze conversational/multi-turn behaviors, and measure ecosystem health (e.g., publisher web traffic and ecosystem impact).
 * Serve as the primary quantitative thought partner for PMs, Engineering Leads, and Research Scientists, translating complex statistical analyses into high-impact product roadmaps and strategic decisions.


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