AI Product Data Scientist — Search Experience Metrics

Google LLC; Mountain View (CA); Presencial; USD 138.000 - 197.000; Tempo integral

Benefícios oferecidos por esta vaga

Equity

Bonus target

Resumo da vaga

Google LLC in Mountain View, CA seeks a quantitative analytics-focused professional to drive measurement and evaluation for AI-powered Search experiences. You will collaborate across Engineering, Product, UX, and Research to shape how we measure success and improve user journeys through rigorous experiments and data-driven insights.

Individual pay ranges are provided with equity and a 15% bonus target. The role emphasizes cross-functional collaboration and rigorous statistical methods to inform

Qualificações

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications and coding or 2 years with a Master's degree.

Responsabilidades

• Frame and solve ambiguous product problems and communicate results clearly to technical and non-technical audiences.
• Work cross-functionally with Product, Engineering, UX, and Research partners; influence prioritization with data.
• Define success metrics and quality frameworks for AI experiences in Search across tasks, efficiency, trust, and user satisfaction.
• Analyze human and auto-rater evaluations of AI experiences to build a holistic view of product quality.
• Design and assess live experiments to understand impact of new AI features on user journeys and make launch recommendations.

Formação

Bachelor's degree in quantitative field

Ferramentas

Python

R

SQL

Descrição da vaga

Google LLC in Mountain View, CA seeks a quantitative analytics-focused professional to drive measurement and evaluation for AI-powered Search experiences. You will collaborate across Engineering, Product, UX, and Research to shape how we measure success and improve user journeys through rigorous experiments and data-driven insights.

Individual pay ranges are provided with equity and a 15% bonus target. The role emphasizes cross-functional collaboration and rigorous statistical methods to inform