Senior Data Scientist - Search Platform, Causal ML, Equity

Google; Mountain View (CA); On-site; USD 174,000 - 253,000; Full time

Job summary

Google seeks a Data Scientist for its Search Platform Data Science team to pioneer methodological innovations that capture and improve the end-to-end user experience.

You will scale User-Perceived Reliability metrics and apply advanced causal inference to measure the impact of user friction on retention, while exploring creative workarounds when data is unavailable. Your work will educate the broader Data Science community across the organization.

Qualifications

• Master's degree or PhD in a quantitative field.
• 5 years with analytics to solve product/business problems; or 3 years with PhD.

Responsibilities

• Extract strategic insights from large datasets spanning client-side and server-side logs.
• Build end-to-end analyses and prototype pipelines to deliver scalable insights.
• Collaborate cross-functionally with engineers and product teams to improve AI products.
• Present strategic recommendations to leadership based on rigorous analyses.

Skills

Analytics experience

Problem solving

Communication

Education

Master's degree in Statistics/DS/Mathematics/Physics/Economics/OR/Engineering

PhD preferred

Tools

Python

R

SQL

Job description

Google seeks a Data Scientist for its Search Platform Data Science team to pioneer methodological innovations that capture and improve the end-to-end user experience.

You will scale User-Perceived Reliability metrics and apply advanced causal inference to measure the impact of user friction on retention, while exploring creative workarounds when data is unavailable. Your work will educate the broader Data Science community across the organization.