AI Search Data Scientist: Metrics, Experiments & Strategy

Google LLC; Mountain View (WY); On-site; USD 138,000 - 197,000; Full time

Job summary

Google LLC is seeking a data science professional to shape AI-powered search metrics and evaluation methods. You will design experiments for complex user journeys, analyze results, and translate insights into actionable product directions that influence AI features and search quality.

The role requires strong statistical analysis skills, proficiency in Python/R/SQL, and the ability to work across Engineering, Product, UX, and Research teams.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience with 5 years of analysis-applications experience and coding (Python, R, SQL), or 2 years with a Master's degree.
• Experience with extracting insights, statistical analysis, or solving business problems using data science methods.
• Ability to frame problems, communicate results to both technical and non-technical audiences.

Responsibilities

• Define and shape success metrics and evaluation approaches for AI-powered search experiences.
• Design experiments for multi-step user flows to understand impact of AI features.
• Translate findings into product direction and influence prioritization with data.
• Collaborate cross-functionally with Product, Engineering, UX, and Research teams.

Skills

Statistical analysis

Python

R

SQL

Experiment design

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job description

Google LLC is seeking a data science professional to shape AI-powered search metrics and evaluation methods. You will design experiments for complex user journeys, analyze results, and translate insights into actionable product directions that influence AI features and search quality.

The role requires strong statistical analysis skills, proficiency in Python/R/SQL, and the ability to work across Engineering, Product, UX, and Research teams.